🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
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Updated
Jun 4, 2024 - Python
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
PEP 503 repository index for jax[cuda]
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Flax is a neural network library for JAX that is designed for flexibility.
A retargetable MLIR-based machine learning compiler and runtime toolkit.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Tevatron - A flexible toolkit for neural retrieval research and development.
pure-Python HistFactory implementation with tensors and autodiff
Orbax provides common utility libraries for JAX users.
JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome).
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.
Pre-`quaxify`d libraries for use in multiple dispatch over abstract array types in JAX.
Coordinates in JAX
Galactic and Gravitational Dynamics in Python (+ GPU and autodiff)
Scientific Computational Imaging COde
Second-Order Differential ML
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