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Hugging Face Viewer is now at 2300 viewable models! 😊 Would love more feedback and ideas!
It's a free interactive graph visualizer for learning about the architectures of open source AI models! 🚀
Hovering nodes in the graph links to a definitions + animation and the paper that introduced it!
🌟 hfviewer.com
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It's a free interactive graph visualizer for learning about the architectures of open source AI models! 🚀
Hovering nodes in the graph links to a definitions + animation and the paper that introduced it!
🌟 hfviewer.com
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🔖 Comprehensive Practical Course on Reinforcement Learning
We've found a repository that will help you learn Reinforcement Learning, from basic concepts to advanced algorithms.
The author supports the theory with practical examples using TensorFlow, making the material ideal for self-study.
⛓️ Link to GitHub
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We've found a repository that will help you learn Reinforcement Learning, from basic concepts to advanced algorithms.
The author supports the theory with practical examples using TensorFlow, making the material ideal for self-study.
⛓️ Link to GitHub
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Forwarded from Machine Learning
Maths, CS & AI Compendium: A free textbook for aspiring AI/ML engineers
🚀 A large open-source compendium on mathematics, computer science, and AI has gone viral on GitHub. The project already has around 6.3K stars.
📚 The author positions it as a "non-traditional textbook" for practitioners: less dry notation, more intuition, connections between topics, and real-world context.
📖 It contains 20 chapters:
* Vectors, matrices, calculus
* Statistics and probability
* Machine learning and deep learning
* NLP, computer vision, audio/speech
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* GNN, OS, algorithms
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* AI inference, ML systems design, and applied AI
🤖 There is also a MCP server so that Claude Code, Cursor, VS Code, and other AI assistants can use the compendium as a local knowledge base.
💡 This is a great resource for those who want to not just "learn ML," but to build a solid foundation: mathematics → CS → ML systems → modern AI.
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🚀 A large open-source compendium on mathematics, computer science, and AI has gone viral on GitHub. The project already has around 6.3K stars.
📚 The author positions it as a "non-traditional textbook" for practitioners: less dry notation, more intuition, connections between topics, and real-world context.
📖 It contains 20 chapters:
* Vectors, matrices, calculus
* Statistics and probability
* Machine learning and deep learning
* NLP, computer vision, audio/speech
* Multimodal learning and autonomous systems
* GNN, OS, algorithms
* Production engineering, GPU/SIMD
* AI inference, ML systems design, and applied AI
🤖 There is also a MCP server so that Claude Code, Cursor, VS Code, and other AI assistants can use the compendium as a local knowledge base.
💡 This is a great resource for those who want to not just "learn ML," but to build a solid foundation: mathematics → CS → ML systems → modern AI.
🔗 GitHub: https://github.com/HenryNdubuaku/maths-cs-ai-compendium
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Forwarded from Machine Learning
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Stop searching for generative AI resources one category at a time. 🚀
Awesome Generative AI is a curated directory of generative AI projects and services for builders exploring the ecosystem. 🌐
It helps you compare where to look next by organizing links and short descriptions across models, tools, agents, media, and learning resources. 📊
Key features:
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• Multimodal map – explore image, video, audio, and music tools in dedicated sections 🎨🎵
• Learning library – use recommended reading, milestones, courses, guides, and related lists to build context 📚
It’s open-source (CC0-1.0 license). 🔓
Repo: https://github.com/steven2358/awesome-generative-ai
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Awesome Generative AI is a curated directory of generative AI projects and services for builders exploring the ecosystem. 🌐
It helps you compare where to look next by organizing links and short descriptions across models, tools, agents, media, and learning resources. 📊
Key features:
• Text stack – browse models, chatbots, search engines, writing tools, research tools, and leaderboards ✍️
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• Agent directory – scan autonomous agent projects and custom assistant resources 🤖
• Multimodal map – explore image, video, audio, and music tools in dedicated sections 🎨🎵
• Learning library – use recommended reading, milestones, courses, guides, and related lists to build context 📚
It’s open-source (CC0-1.0 license). 🔓
Repo: https://github.com/steven2358/awesome-generative-ai
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Join How AI Helps and open the pinned model-picker guide
How AI Helps built a free Telegram model picker. Choose your task, RAM or VRAM, language, runtime, and commercial-use requirement.
Then compare a shortlist by memory, license, sources, download options, and launch commands when available.
Join How AI Helps and open the pinned model-picker guide
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Forwarded from Python Courses & Resources
Free Generative AI Courses
Generative AI Full Course: Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More
🆓 Free Video Course
⏰ Duration: 30 hrs
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👨🏫 Instructors: Krish Naik, Sunny Savita & Boktiar Ahmed Bappy via freeCodeCamp
🔗 Course Link
5-Day Gen AI Intensive Course with Google
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Free GenAI 65-Hour Bootcamp
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👨🏫 Instructor: Andrew Brown (ExamPro) via freeCodeCamp
🔗 Course Link
Generative AI for Beginners
🆓 Free Video Course
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📈 Difficulty: Beginner
👨🏫 Created by: Great Learning Academy
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Introduction to Generative AI
🆓 Free Video Course
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📈 Difficulty: Beginner
👨🏫 Created by: Google Skills
🔗 Course Link
Generative AI for Beginners
📚 Text Course
⏰ Duration: 21 lessons
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📈 Difficulty: Beginner
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🔗 Course Link
AI Capabilities and Limitations
🆓 Free Video Course
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Generative AI for Beginners
🆓 Free Video Course
⏰ Duration: 4 hrs
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📈 Difficulty: Beginner
👨🏫 Created by: Simplilearn
🔗 Course Link
Reading Materials
📖 Prompt Engineering Guide
📖 Awesome Generative AI (Curated Resource List)
📖 Generative AI: A Beginner's Guide
📖 Understanding Generative AI Capabilities
📖Stanford HAI: 2025 AI Index Report
Generative AI Full Course: Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More
🆓 Free Video Course
⏰ Duration: 30 hrs
🏃♂️ Self Paced
📈 Difficulty: Beginner to Intermediate
👨🏫 Instructors: Krish Naik, Sunny Savita & Boktiar Ahmed Bappy via freeCodeCamp
🔗 Course Link
5-Day Gen AI Intensive Course with Google
🆓 Free Video + Hands-On Codelabs
⏰ Duration: 5-day structure
🏃♂️ Self Paced
📈 Difficulty: Beginner to Intermediate
👨🏫 Created by: Google & Kaggle
🔗 Course Link
Free GenAI 65-Hour Bootcamp
🆓 Free Video Course
⏰ Duration: 65 hrs
🏃♂️ Self Paced
📈 Difficulty: Beginner to Intermediate
👨🏫 Instructor: Andrew Brown (ExamPro) via freeCodeCamp
🔗 Course Link
Generative AI for Beginners
🆓 Free Video Course
⏰ Duration: Multi-hour
🏃♂️ Self Paced
📈 Difficulty: Beginner
👨🏫 Created by: Great Learning Academy
🔗 Course Link
Introduction to Generative AI
🆓 Free Video Course
⏰ Duration: 45 min
🏃♂️ Self Paced
📈 Difficulty: Beginner
👨🏫 Created by: Google Skills
🔗 Course Link
Generative AI for Beginners
📚 Text Course
⏰ Duration: 21 lessons
🏃♂️ Self Paced
📈 Difficulty: Beginner
👨🏫 Created by: Microsoft Cloud Advocates
🔗 Course Link
AI Capabilities and Limitations
🆓 Free Video Course
⏰ Duration: Self-paced
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👨🏫 Created by: Anthropic Academy
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Generative AI for Beginners
🆓 Free Video Course
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🏃♂️ Self Paced
📈 Difficulty: Beginner
👨🏫 Created by: Simplilearn
🔗 Course Link
Reading Materials
📖 Prompt Engineering Guide
📖 Awesome Generative AI (Curated Resource List)
📖 Generative AI: A Beginner's Guide
📖 Understanding Generative AI Capabilities
📖Stanford HAI: 2025 AI Index Report
YouTube
Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More
Learn about generative models and different frameworks, investigating the production of text and visual material produced by artificial intelligence. This course was originally recorded live.
Instructors: Krish Naik, Sunny Savita, and Boktiar Ahmed Bappy.…
Instructors: Krish Naik, Sunny Savita, and Boktiar Ahmed Bappy.…
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Amplify (UK) plugs an AI agent straight into your Telegram, WhatsApp, Slack, WeChat, or Discord. Not just a GPT chat — an assistant that reaches into the real world.
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🔖 A useful training tool for Data Scientists 📊
🫡 Real-world tasks from IT companies;
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⛓ Link to the training tool
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🫡 Real-world tasks from IT companies;
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⛓ Link to the training tool
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Forwarded from Machine Learning
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A Powerful Alternative to Pandas 🚀
This is an optimized replacement for Pandas that can significantly speed up data processing without requiring major changes to your code. ⚙️
To get started, simply replace a single import:
Performance Benchmarks demonstrate speed improvements in various use cases. 📈
More: https://colab.research.google.com/drive/1UIokuJ4cytoiVSabRDqcziDXOan8bVua?usp=sharing
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This is an optimized replacement for Pandas that can significantly speed up data processing without requiring major changes to your code. ⚙️
To get started, simply replace a single import:
import fireducks.pandas as pd
Performance Benchmarks demonstrate speed improvements in various use cases. 📈
More: https://colab.research.google.com/drive/1UIokuJ4cytoiVSabRDqcziDXOan8bVua?usp=sharing
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Forwarded from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
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