A working library of courses, tools, and competitions. Curated and updated by us.
Harvard's legendary intro to CS. The best starting point before diving into ML.
Search, knowledge, uncertainty, optimization, learning, neural nets, NLP.
Refreshed yearly. Good first lecture series for machine learning beginners.
Canonical computer-vision course with lecture notes and assignments to complete.
Fast, practical intro to ML concepts with TensorFlow exercises. Good for absolute beginners.
Build GPT from scratch. The best deep-dive into how transformers actually work.
Best DL framework. Way better than TensorFlow.
Experiment tracking and testing.
The library powering our SNNs. Excellent docs.
Free servers and CUDA access. Must have.
Production-grade vector index for our RAG pipelines.
Massive library of open source models to use.