A retargetable MLIR-based machine learning compiler and runtime toolkit.
? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Empowering everyone to build reliable and efficient software.
Deep Learning for humans
? Empowering everyone to build reliable and efficient smart contracts.
A high-throughput and memory-efficient inference and serving engine for LLMs
Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
? Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
