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- import streamlit as st
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- import streamlit.components.v1 as components
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-
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- # --------------------------
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- # Mermaid Renderer Function
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- # --------------------------
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- def render_mermaid(mermaid_code, height=300):
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- """Render a mermaid diagram using an HTML snippet in a Streamlit component."""
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- html_code = f"""
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- <html>
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- <head>
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- <script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/mermaid.min.js"></script>
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- <style>
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- body {{
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- background-color: white;
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- font-family: sans-serif;
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- }}
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- </style>
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- </head>
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- <body>
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- <div class="mermaid">
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- {mermaid_code}
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- </div>
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- <script>
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- mermaid.initialize({{startOnLoad:true}});
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- </script>
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- </body>
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- </html>
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- """
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- components.html(html_code, height=height)
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-
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- # --------------------------
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- # Markdown Outlines for Each Area
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- # --------------------------
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- markdown_areas = {
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- "1. πŸ‘₯ Leadership Management Collaboration LeCo": r'''
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- 1. πŸ‘₯ Leadership Management Collaboration LeCo
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- πŸš€ Strategic and Cross-Functional Leadership - Global strategy, team coordination and vendor management
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- 🀝 Team Building and Agile Collaboration - Coaching, agile processes and stakeholder management
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- πŸ’‘ Domain Expertise and Innovation - Deep AI framework knowledge and product strategy
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- ''',
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- "2. πŸ”’ Security Compliance Reliability SeCo": r'''
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- 2. πŸ”’ Security Compliance Reliability SeCo
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- πŸ›‘οΈ Security Operations and Incident Response - Incident management, pen testing and vulnerability assessment
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- βœ… Compliance and Governance - Data quality, compliance policies and IAM
46
- πŸ”’ System Hardening and Automation - Secure HPC, ML, Python, Bash automation and cost optimization
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- ''',
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- "3. πŸ“Š Data Engineering Analytics Data Governance DaEn": r'''
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- 3. πŸ“Š Data Engineering Analytics Data Governance DaEn
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- πŸ’§ Data Processing and Ingestion - Multi, modal data, event handling and ETL pipelines
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- πŸ“Š Analytics, Forecasting and Visualization - BI, dashboards and forecasting
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- πŸ“ Data Governance and Quality - Modeling, warehousing and stakeholder communications
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- ''',
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- "4. πŸ“’ Community OpenSource Communication CoOS": r'''
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- 4. πŸ“’ Community OpenSource Communication CoOS
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- πŸ“š Technical Documentation and Demos - Code examples, demos and notebooks
57
- πŸ’¬ Community Engagement and Collaboration - Public speaking, social media and collaborations
58
- ''',
59
- "5. πŸ“± FullStack UI Mobile Product Development FuMo": r'''
60
- 5. πŸ“± FullStack UI Mobile Product Development FuMo
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- πŸ“± Mobile and Web App Development - Full stack development, CI/CD and API design
62
- 🎨 UI, UX and Frontend Integration - React, Next.js, TypeScript and intuitive design
63
- πŸ”Œ Backend and Cross-Platform Tools - Python, Node, cloud microservices and ML bridging
64
- ''',
65
- "6. πŸ’» Software Cloud MLOps Infrastructure SCMI": r'''
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- 6. πŸ’» Software Cloud MLOps Infrastructure SCMI
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- πŸ› οΈ Developer Tooling and Observability - Full stack dev, debugging and SRE practices
68
- πŸ€– ML Frameworks and Automation - Python APIs, PyTorch, Keras and Ray, Horovod
69
- πŸ”„ Data Pipelines and Processing - Spark, Airflow and ETL pipelines
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- ☁️ Cloud and Infrastructure Provisioning - Kubernetes, Docker, Terraform and cloud integration
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- ''',
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- "7. πŸ€– Machine Learning AI Model Development MLAI": r'''
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- 7. πŸ€– Machine Learning AI Model Development MLAI
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- πŸ›οΈ Large-Scale Architectures and Retrieval - Transformers, RAG and vector DBs
75
- βš—οΈ Experimentation and Distributed Training - RL, quantization and ablation studies
76
- πŸ“‘ Application and API Development - Agentic AI, LLM inference and microservices
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- πŸ“ˆ Optimization and Monitoring - Performance tuning, scaling and reliability
78
- ''',
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- "8. πŸ”§ Systems Infrastructure LowLevel Engineering SyIn": r'''
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- 8. πŸ”§ Systems Infrastructure LowLevel Engineering SyIn
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- 🐧 Hardware and OS Integration - Linux, embedded, C, C++
82
- βš™οΈ Performance and Tuning - Cross-layer tuning, throughput and load balancing
83
- πŸ€– Advanced ML and Automation - Cross-team innovation, observability and ServiceNow
84
- πŸš€ Distributed and HPC Deployment - Data center HPC, ML, GPU orchestration and multi-GPU pipelines
85
- ''',
86
- "9. 🎯 Specialized Domains Emerging Technologies SpDo": r'''
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- 9. 🎯 Specialized Domains Emerging Technologies SpDo
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- πŸŽ₯ Advanced CV and 3D Graphics - Neural rendering, reconstruction and graphics engines
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- πŸš— Robotics and Autonomous Systems - Autonomous vehicles, sensor fusion and path planning
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- πŸ’» HPC and Hardware Integration - GPU, SoC modeling, HPC networking and prototyping
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- πŸ”’ AI Quantization and Inference - Quantization, in-browser inference and neural sparse models
92
- '''
93
- }
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-
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- # --------------------------
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- # Mermaid Diagrams for Each Area
97
- # --------------------------
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- mermaid_areas = {
99
- "1. πŸ‘₯ Leadership Management Collaboration LeCo": r'''
100
- graph LR
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- LC[πŸ‘₯ Leadership and Collaboration - LeCo]
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- LC --> LeCo1a[1. πŸš€ Strategic and Cross-Functional Leadership - Global strategy, team coordination and vendor management]
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- LC --> LeCo1b[2. 🀝 Team Building and Agile Collaboration - Coaching, agile processes and stakeholder management]
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- LC --> LeCo1c[3. πŸ’‘ Domain Expertise and Innovation - Deep AI knowledge and product strategy]
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- ''',
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- "2. πŸ”’ Security Compliance Reliability SeCo": r'''
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- graph LR
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- SC[πŸ”’ Security and Compliance - SeCo]
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- SC --> SeCo1[1. πŸ›‘οΈ Security Operations and Incident Response - Incident management, pen testing and vulnerability assessment]
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- SC --> SeCo2[2. βœ… Compliance and Governance - Data quality, compliance policies and IAM]
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- SC --> SeCo3[3. πŸ”’ System Hardening and Automation - Secure HPC, ML, Python, Bash automation and cost optimization]
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- ''',
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- "3. πŸ“Š Data Engineering Analytics Data Governance DaEn": r'''
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- graph LR
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- DE[πŸ“Š Data Engineering - DaEn]
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- DE --> DaEn1[1. πŸ’§ Data Processing and Ingestion - Multi, modal data, event handling and ETL]
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- DE --> DaEn2[2. πŸ“Š Analytics, Forecasting and Visualization - BI, dashboards and forecasting]
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- DE --> DaEn3[3. πŸ“ Data Governance and Quality - Modeling, warehousing and stakeholder comms]
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- ''',
120
- "4. πŸ“’ Community OpenSource Communication CoOS": r'''
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- graph LR
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- CO[πŸ“’ Community OpenSource - CoOS]
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- CO --> CoOS1[1. πŸ“š Technical Documentation and Demos - Code examples, demos and notebooks]
124
- CO --> CoOS2[2. πŸ’¬ Community Engagement and Collaboration - Public speaking, social media and collabs]
125
- ''',
126
- "5. πŸ“± FullStack UI Mobile Product Development FuMo": r'''
127
- graph LR
128
- FM[πŸ“± FullStack UI Mobile - FuMo]
129
- FM --> FuMo1[1. πŸ“± Mobile and Web App Development - Full stack development, CI/CD and API design]
130
- FM --> FuMo2[2. 🎨 UI, UX and Frontend Integration - React, Next.js, TypeScript and intuitive design]
131
- FM --> FuMo3[3. πŸ”Œ Backend and Cross-Platform Tools - Python, Node, cloud microservices and ML bridging]
132
- ''',
133
- "6. πŸ’» Software Cloud MLOps Infrastructure SCMI": r'''
134
- graph LR
135
- SM[πŸ’» Software Cloud MLOps - SCMI]
136
- SM --> SCMI1[1. πŸ› οΈ Developer Tooling and Observability - Full stack dev, debugging and SRE practices]
137
- SM --> SCMI2[2. πŸ€– ML Frameworks and Automation - Python APIs, PyTorch, Keras and Ray, Horovod]
138
- SM --> SCMI3[3. πŸ”„ Data Pipelines and Processing - Spark, Airflow and ETL pipelines]
139
- SM --> SCMI4[4. ☁️ Cloud and Infrastructure Provisioning - Kubernetes, Docker, Terraform and cloud integration]
140
- ''',
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- "7. πŸ€– Machine Learning AI Model Development MLAI": r'''
142
- graph LR
143
- ML[πŸ€– Machine Learning AI - MLAI]
144
- ML --> MLAI1[1. πŸ›οΈ Large-Scale Architectures and Retrieval - Transformers, RAG and vector DBs]
145
- ML --> MLAI2[2. βš—οΈ Experimentation and Distributed Training - RL, quantization and ablation studies]
146
- ML --> MLAI3[3. πŸ“‘ Application and API Development - Agentic AI, LLM inference and microservices]
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- ML --> MLAI4[4. πŸ“ˆ Optimization and Monitoring - Performance tuning, scaling and reliability]
148
- ''',
149
- "8. πŸ”§ Systems Infrastructure LowLevel Engineering SyIn": r'''
150
- graph LR
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- SI[πŸ”§ Systems Infrastructure - SyIn]
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- SI --> SyIn1[1. 🐧 Hardware and OS Integration - Linux, embedded, C, C++]
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- SI --> SyIn2[2. βš™οΈ Performance and Tuning - Cross-layer tuning, throughput and load balancing]
154
- SI --> SyIn3[3. πŸ€– Advanced ML and Automation - Cross-team innovation, observability and ServiceNow]
155
- SI --> SyIn4[4. πŸš€ Distributed and HPC Deployment - Data center HPC, ML, GPU orchestration and multi-GPU pipelines]
156
- ''',
157
- "9. 🎯 Specialized Domains Emerging Technologies SpDo": r'''
158
- graph LR
159
- SD[🎯 Specialized Domains - SpDo]
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- SD --> SpDo1[1. πŸŽ₯ Advanced CV and 3D Graphics - Neural rendering, reconstruction and graphics engines]
161
- SD --> SpDo2[2. πŸš— Robotics and Autonomous Systems - Autonomous vehicles, sensor fusion and path planning]
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- SD --> SpDo3[3. πŸ’» HPC and Hardware Integration - GPU, SoC modeling, HPC networking and prototyping]
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- SD --> SpDo4[4. πŸ”’ AI Quantization and Inference - Quantization, in-browser inference and neural sparse models]
164
- '''
165
- }
166
-
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- # --------------------------
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- # Additional Markdown Sections (existing content)
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- # --------------------------
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- md_combined_outline = r'''
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- # πŸ“š Hands On ML App. Dev. with Mixture of Experts and Multiagent Skills and State of Art ML Architecture
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- 1. **πŸ‘₯ Leadership and Collaboration LeCo:** Strategic leadership and team management.
173
- 2. **πŸ”’ Security and Compliance SeCo:** Security operations, compliance, and system hardening.
174
- 3. **πŸ“Š Data Engineering DaEn:** Data processing, analytics, and governance.
175
- 4. **πŸ“’ Community OpenSource CoOS:** Community engagement, documentation, and collaboration.
176
- 5. **πŸ“± FullStack UI Mobile FuMo:** Mobile and web app development with ML integration.
177
- 6. **πŸ’» Software Cloud MLOps SCMI:** Cloud infrastructure, ML frameworks, and automation.
178
- 7. **πŸ€– Machine Learning AI MLAI:** Large–scale architectures, distributed training, and inference.
179
- 8. **πŸ”§ Systems Infrastructure SyIn:** Hardware, OS, and distributed HPC deployments.
180
- 9. **🎯 Specialized Domains SpDo:** Advanced CV, robotics, HPC, and AI quantization.
181
- '''
182
-
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- md_submodels_outline = r'''
184
- ## 1. πŸ‘₯ Leadership Management Collaboration LeCo
185
- 1. **πŸš€ Strategic and Cross-Functional Leadership - Global strategy, team coordination and vendor management**
186
- 2. **🀝 Team Building and Agile Collaboration - Coaching, agile processes and stakeholder management**
187
- 3. **πŸ’‘ Domain Expertise and Innovation - Deep AI framework knowledge and product strategy**
188
-
189
- ## 2. πŸ”’ Security Compliance Reliability SeCo
190
- 1. **πŸ›‘οΈ Security Operations and Incident Response - Incident management, pen testing and vulnerability assessment**
191
- 2. **βœ… Compliance and Governance - Data quality standards, compliance policies and IAM solutions**
192
- 3. **πŸ”’ System Hardening and Automation - Secure HPC, ML, Python, Bash automation and cost optimization**
193
-
194
- ## 3. πŸ“Š Data Engineering Analytics Data Governance DaEn
195
- 1. **πŸ’§ Data Processing and Ingestion - Multi, modal data, event handling and ETL pipelines**
196
- 2. **πŸ“Š Analytics, Forecasting and Visualization - BI, dashboards and forecasting**
197
- 3. **πŸ“ Data Governance and Quality - Modeling, warehousing and stakeholder comms**
198
-
199
- ## 4. πŸ“’ Community OpenSource Communication CoOS
200
- 1. **πŸ“š Technical Documentation and Demos - Code examples, demos and notebooks**
201
- 2. **πŸ’¬ Community Engagement and Collaboration - Public speaking, social media and collabs**
202
-
203
- ## 5. πŸ“± FullStack UI Mobile Product Development FuMo
204
- 1. **πŸ“± Mobile and Web App Development - Full stack development, CI/CD and API design**
205
- 2. **🎨 UI, UX and Frontend Integration - React, Next.js, TypeScript and intuitive design**
206
- 3. **πŸ”Œ Backend and Cross-Platform Tools - Python, Node, cloud microservices and ML bridging**
207
-
208
- ## 6. πŸ’» Software Cloud MLOps Infrastructure SCMI
209
- 1. **πŸ› οΈ Developer Tooling and Observability - Full stack dev, debugging and SRE practices**
210
- 2. **πŸ€– ML Frameworks and Automation - Python APIs, PyTorch, Keras and Ray, Horovod**
211
- 3. **πŸ”„ Data Pipelines and Processing - Spark, Airflow and ETL pipelines**
212
- 4. **☁️ Cloud and Infrastructure Provisioning - Kubernetes, Docker, Terraform and cloud integration**
213
-
214
- ## 7. πŸ€– Machine Learning AI Model Development MLAI
215
- 1. **πŸ›οΈ Large-Scale Architectures and Retrieval - Transformers, RAG and vector DBs**
216
- 2. **βš—οΈ Experimentation and Distributed Training - RL, quantization and ablation studies**
217
- 3. **πŸ“‘ Application and API Development - Agentic AI, LLM inference and microservices**
218
- 4. **πŸ“ˆ Optimization and Monitoring - Performance tuning, scaling and reliability**
219
-
220
- ## 8. πŸ”§ Systems Infrastructure LowLevel Engineering SyIn
221
- 1. **🐧 Hardware and OS Integration - Linux, embedded, C, C++**
222
- 2. **βš™οΈ Performance and Tuning - Cross-layer tuning, throughput and load balancing**
223
- 3. **πŸ€– Advanced ML and Automation - Cross-team innovation, observability and ServiceNow**
224
- 4. **πŸš€ Distributed and HPC Deployment - Data center HPC, ML, GPU orchestration and multi-GPU pipelines**
225
-
226
- ## 9. 🎯 Specialized Domains Emerging Technologies SpDo
227
- 1. **πŸŽ₯ Advanced CV and 3D Graphics - Neural rendering, reconstruction and graphics engines**
228
- 2. **πŸš— Robotics and Autonomous Systems - Autonomous vehicles, sensor fusion and path planning**
229
- 3. **πŸ’» HPC and Hardware Integration - GPU, SoC modeling, HPC networking and prototyping**
230
- 4. **πŸ”’ AI Quantization and Inference - Quantization, in-browser inference and neural sparse models**
231
- '''
232
-
233
- md_glossary = r'''
234
- # πŸ“– Glossary
235
- 1. **πŸ”§ Systems Infrastructure SyIn:** Hardware and OS, level operations enabling computing environments.
236
- 2. **πŸ’» Software Cloud MLOps SCMI:** Tools and processes for managing ML workflows and cloud infrastructures.
237
- 3. **πŸ€– Machine Learning AI MLAI:** Techniques and architectures for developing and deploying AI models.
238
- 4. **πŸ“Š Data Engineering DaEn:** Methods for processing, analyzing and governing data.
239
- 5. **πŸ”’ Security and Compliance SeCo:** Practices ensuring system security and adherence to regulations.
240
- 6. **πŸ‘₯ Leadership and Collaboration LeCo:** Strategies for effective team management and cross-functional coordination.
241
- 7. **πŸ“± FullStack UI Mobile FuMo:** End-to-end development of mobile and web interfaces integrating ML.
242
- 8. **🎯 Specialized Domains SpDo:** Focus areas in advanced tech such as computer vision, robotics and HPC.
243
- 9. **πŸ“’ Community OpenSource CoOS:** Engagement with open-source communities and technical education.
244
- 10. **HPC:** High Performance Computing; large-scale computational systems and clusters.
245
- 11. **LLM:** Large Language Models; deep learning models for natural language processing.
246
- 12. **MLOps:** Machine Learning Operations; practices for deploying and managing ML systems.
247
- '''
248
-
249
- md_python_libraries = r'''
250
- # 🐍 Python Libraries Guide
251
- 1. **πŸ”₯ TensorFlow (tensorflow) -** Deep learning library for research and production.
252
- 2. **πŸ€— Huggingface Hub (huggingface_hub) -** Platform for sharing and accessing pre-trained models.
253
- 3. **πŸ”„ Transformers (transformers) -** Library for NLP and model inference.
254
- 4. **πŸ”₯ Torch (torch) -** PyTorch library for dynamic deep learning.
255
- 5. **πŸš€ Streamlit (streamlit) -** Rapidly build interactive ML web apps.
256
- 6. **πŸŽ™οΈ Gradio (gradio) -** Create customizable web interfaces for ML models.
257
- 7. **🐼 Pandas (pandas) -** Data manipulation and analysis.
258
- 8. **πŸ”’ NumPy (numpy) -** Numerical computing and array operations.
259
- 9. **πŸ’¬ LangChain (langchain) -** Framework for building applications with language models.
260
- 10. **πŸ€– OpenAI (openai) -** API for accessing GPT models and AI services.
261
- 11. **πŸ”‘ Azure MSAL (msal) -** Authentication library for Azure services.
262
- 12. **βš™οΈ Scikit-learn (scikit-learn) -** Machine learning tools for data mining and analysis.
263
- 13. **πŸ“ˆ Matplotlib (matplotlib) -** Plotting library for data visualization.
264
- 14. **πŸ” Seaborn (seaborn) -** Statistical data visualization.
265
- 15. **πŸ“Š Plotly (plotly) -** Interactive graphing library.
266
- 16. **πŸ“š NLTK (nltk) -** Natural language processing toolkit.
267
- 17. **πŸ§ͺ SciPy (scipy) -** Scientific and technical computing.
268
- 18. **⚑ FastAPI (fastapi) -** Build fast APIs for ML applications.
269
- 19. **πŸ›  Dask (dask) -** Parallel computing with task scheduling.
270
- 20. **πŸ”— Requests (requests) -** HTTP library for Python.
271
- '''
272
-
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- md_js_libraries = r'''
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- # πŸ’» JavaScript Libraries Guide
275
- 1. **πŸ”₯ React (react) -** Library for building UI components.
276
- 2. **βš›οΈ Redux (redux) -** Predictable state container for JavaScript apps.
277
- 3. **🌐 Node.js (node) -** JavaScript runtime for building server-side applications.
278
- 4. **πŸ’» Express (express) -** Web framework for Node.js.
279
- 5. **πŸ”— D3.js (d3) -** Library for dynamic, interactive data visualizations.
280
- 6. **πŸ“Š Chart.js (chart.js) -** Simple yet flexible charting library.
281
- 7. **πŸ›  Webpack (webpack) -** Module bundler for JavaScript applications.
282
- 8. **βš™οΈ Babel (babel) -** Transpiler for next-generation JavaScript.
283
- 9. **πŸš€ Next.js (next) -** React framework for server-side rendering.
284
- 10. **🎨 Tailwind CSS (tailwindcss) -** Utility-first CSS framework for rapid UI development.
285
- 11. **πŸŒ€ jQuery (jquery) -** DOM manipulation library.
286
- 12. **πŸ” Lodash (lodash) -** Utility library for JavaScript.
287
- 13. **⏰ Moment.js (moment) -** Date library for parsing, validating and formatting dates.
288
- 14. **πŸ“‘ Axios (axios) -** Promise-based HTTP client.
289
- 15. **πŸ’¬ Socket.io (socket.io) -** Real-time communication library.
290
- 16. **πŸ–Ό Vue.js (vue) -** Progressive framework for building user interfaces.
291
- 17. **πŸ…°οΈ Angular (angular) -** Platform for building mobile and desktop web applications.
292
- 18. **πŸ”₯ Ember.js (ember) -** Framework for creating ambitious web applications.
293
- 19. **πŸ“Š Mermaid.js (mermaid) -** Library for generating diagrams and flowcharts.
294
- 20. **πŸŽ‡ Three.js (three) -** Library for creating 3D graphics in the browser.
295
- '''
296
-
297
- md_picture_mnemonic = r'''
298
- # πŸ–Ό Picture Mnemonic Outline
299
- 1. **πŸ—Ό Lighthouse -** Represents #1, a beacon of guidance.
300
- 2. **πŸ‘“ Eyeglasses -** Symbolizes #2, two lenses for clarity.
301
- 3. **πŸͺ‘ Stool -** Denotes #3, three legs for stability.
302
- 4. **πŸͺŸ Window -** Four panes, representing #4.
303
- 5. **βœ‹ Hand -** Five fingers for #5.
304
- 6. **🎲 Dice -** Six sides symbolizing #6.
305
- 7. **☁️ Cloud -** For #7, light and airy.
306
- 8. **πŸšͺ Gate -** Represents #8, opening new paths.
307
- 9. **🐱 Cat -** Nine lives, symbolic of #9.
308
-
309
- **Mnemonic:** A mnemonic is a memory aid using patterns or associations to enhance recall. Here, we apply the pegword technique by pairing each number with a vivid image to quickly remember complex information.
310
- *(Adapted from McCarthy, M. J. 2007. Mastering the INFORMATION AGE - A Course in Working Smarter, Thinking Better, and Learning Faster. [1])*
311
-
312
- [1] McCarthy, M. J. 2007. *Mastering the INFORMATION AGE - A Course in Working Smarter, Thinking Better, and Learning Faster*. Retrieved from https://www.example.com/reference
313
- '''
314
-
315
- md_tweet = r'''
316
- # 🐦 Tweet Summary
317
- Unlock your AI mastery with our densified skill tree - from LC to SD - each node paired with powerful mnemonics and vivid visuals (πŸ—ΌπŸ‘“πŸͺ‘πŸͺŸβœ‹πŸŽ²β˜οΈπŸšͺ🐱) to boost memory and innovation. #AI #ML #Learning #Innovation
318
- '''
319
-
320
- # --------------------------
321
- # Combined Mermaid Diagram (Overview)
322
- # --------------------------
323
- combined_mermaid = r'''
324
- graph TD
325
- LC["1. πŸ‘₯ Leadership and Collaboration - LeCo"]
326
- SC["2. πŸ”’ Security and Compliance - SeCo"]
327
- DE["3. πŸ“Š Data Engineering - DaEn"]
328
- CO["4. πŸ“’ Community OpenSource - CoOS"]
329
- FM["5. πŸ“± FullStack UI Mobile - FuMo"]
330
- SM["6. πŸ’» Software Cloud MLOps - SCMI"]
331
- ML["7. πŸ€– Machine Learning AI - MLAI"]
332
- SI["8. πŸ”§ Systems Infrastructure - SyIn"]
333
- SD["9. 🎯 Specialized Domains - SpDo"]
334
-
335
- LC -->|🧭 guides| SC
336
- LC -->|πŸ‘‘ leads| ML
337
- LC -->|🀝 supports| SI
338
- SC ---|πŸ”’ secures| ML
339
- SC ---|πŸ›‘οΈ protects| SM
340
- ML -->|πŸ’§ feeds| DE
341
- SM -->|⚑ powers| ML
342
- FM ---|πŸ”Œ integrates with| SM
343
- FM -->|οΏ½οΏ½ extends to| SD
344
- SD ---|✨ enhances| ML
345
- LC ---|πŸ‘οΈ oversees| SC
346
- CO ---|🀝 collaborates with| LC
347
- CO ---|πŸ—£οΈ informs| DE
348
- SD ---|πŸ”„ shares with| CO
349
- '''
350
-
351
- # --------------------------
352
- # Streamlit App Layout
353
- # --------------------------
354
- def main():
355
- st.set_page_config(page_title="Densified Skill Tree", layout="wide")
356
-
357
- # Optionally render combined outlines and submodels if desired:
358
- st.markdown(md_combined_outline, unsafe_allow_html=True)
359
- #st.markdown(md_submodels_outline, unsafe_allow_html=True)
360
-
361
- # For each numbered area, display its markdown outline first, then its mermaid diagram.
362
- for key in sorted(markdown_areas.keys(), key=lambda k: int(k.split('.')[0])):
363
- st.markdown(markdown_areas[key], unsafe_allow_html=True)
364
- if key in mermaid_areas:
365
- render_mermaid(mermaid_areas[key], height=350)
366
-
367
- # Render the combined mermaid diagram for an overview
368
- render_mermaid(combined_mermaid, height=850)
369
-
370
- # Display additional markdown sections
371
- st.markdown(md_glossary, unsafe_allow_html=True)
372
- st.markdown(md_python_libraries, unsafe_allow_html=True)
373
- st.markdown(md_js_libraries, unsafe_allow_html=True)
374
- st.markdown(md_picture_mnemonic, unsafe_allow_html=True)
375
- st.markdown(md_tweet, unsafe_allow_html=True)
376
-
377
- if __name__ == "__main__":
378
- main()