Accelerate your training with this open-source library. Optimize performance with streamlined training and serving options with JAX. 🚀
-
Updated
Jun 1, 2024 - Python
Accelerate your training with this open-source library. Optimize performance with streamlined training and serving options with JAX. 🚀
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
⚡️SwanLab: your ML experiment notebook. 你的AI实验笔记本,跟踪与可视化你的机器学习全流程
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
A retargetable MLIR-based machine learning compiler and runtime toolkit.
Tevatron - A flexible toolkit for neural retrieval research and development.
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.
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
Galactic and Gravitational Dynamics in Python (+ GPU and autodiff)
PEP 503 repository index for jax[cuda]
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.
Implementación en JAX de una red neuronal convolucional (CNN) para clasificar la base de datos Fashion MNIST.
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.
causalimages: An R package for performing causal inference with image and image sequence data
Flax is a neural network library for JAX that is designed for flexibility.
Add a description, image, and links to the jax topic page so that developers can more easily learn about it.
To associate your repository with the jax topic, visit your repo's landing page and select "manage topics."