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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
#HuggingFace #AI #MachineLearning #OpenSource #TechNews #DataViz
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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
#HuggingFace #AI #MachineLearning #OpenSource #TechNews #DataViz
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❤9
🔖 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
https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow
#ReinforcementLearning #TensorFlow #MachineLearning #DeepLearning #AI #Tech
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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
https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow
#ReinforcementLearning #TensorFlow #MachineLearning #DeepLearning #AI #Tech
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❤3
Get a job or employment opportunity by using our smart bot that connects the right person to the right job.
After using the bot, click the Find Job button.
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❤2
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
* 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
#AI #MachineLearning #ComputerScience #Maths #OpenSource #DevCommunity
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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
#AI #MachineLearning #ComputerScience #Maths #OpenSource #DevCommunity
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❤5
Forwarded from Machine Learning
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❤1
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:
• Text stack – browse models, chatbots, search engines, writing tools, research tools, and leaderboards ✍️
• Coding toolkit – find coding assistants, developer tools, playgrounds, and local LLM deployment options 💻
• 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 Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
#GenerativeAI #AIResources #TechTools #OpenSource #AICommunity #DevTools
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 ✍️
• Coding toolkit – find coding assistants, developer tools, playgrounds, and local LLM deployment options 💻
• 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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#GenerativeAI #AIResources #TechTools #OpenSource #AICommunity #DevTools
❤4
16 GB RAM. No cloud subscription. Which local AI model actually fits?
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
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
❤5👍2💯2