deep-learning

The world's premier machine learning research conference — where the most influential ML papers are presented, from deep learning breakthroughs to reinforcement learning and AI safety.

Andrej Karpathy's classic practitioner guide to training neural networks — covering the common failure modes, debugging strategies, and the right mental model for getting NNs to work reliably.

On-demand GPU cloud infrastructure for AI training and inference, offering NVIDIA B200, H100, and A100 GPUs.

High-level neural networks API for fast experimentation.

Meta's flexible deep learning framework for research and production.

Google's open-source platform for machine learning model development.

Practical deep learning for coders - learn to build real AI applications.