Awesome Data Analysis
Section: Resources · Microsoft's curriculum on artificial intelligence.
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Appears in 4 awesome lists
Beginner-friendly 12-week artificial intelligence curriculum with 24 ordered lessons, quizzes, labs, and practical notebooks covering symbolic AI, deep learning, computer vision, NLP, reinforcement learning, and AI ethics.
Section: Resources · Microsoft's curriculum on artificial intelligence.
Section: AI
Section: 14. Resources & Learning · 12-week, 24-lesson curriculum on Artificial Intelligence. Covers symbolic AI, neural networks, computer vision, NLP, and reinforcement learning with hands-on labs.
Section: AI / Machine Learning / Data Science · Beginner-friendly 12-week artificial intelligence curriculum with 24 ordered lessons, quizzes, labs, and practical notebooks covering symbolic AI, deep learning, computer vision, NLP, reinforcement learning, and AI ethics.
The definitive curated list of machine learning frameworks, libraries and software organized by language. Covers Python, C++, Java, JavaScript, and more with comprehensive coverage of the ML ecosystem. CC0-1.0 licensed.
A curated list of awesome Deep Learning tutorials, projects and communities.
Curated list of artificial intelligence courses, books, video lectures, and papers for developers and researchers. MIT licensed.
robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video,…
Test your prompts, models, RAGs. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. LLM evals for OpenAI/Azure GPT, Anthropic Claude, VertexAI Gemini, Ollama, Local & private models like Mistral/Mixtral/Llama with CI/CD
Machine learning and deep learning tutorials, articles and other resources.
Practical Deep Learning for Coders 2022 is a free course offering hands-on experience in building, training, and deploying deep learning models across various domains using tools like PyTorch and fastai, suitable for those with coding knowledge and without the need for advanced math.
Curated collection of DESIGN.md files representing popular design systems to guide AI coding agents in consistent UI generation. MIT licensed.