flax
by google
Flax is a neural network library for JAX that is designed for flexibility.
AI summary
Neural Network Library
Provides a flexible neural network library and ecosystem for JAX
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Similar projects
Found by comparing what the projects do, not just their names.
Neural Network Library
A JAX-based neural network library for building and optimizing neural networks
Model repository
Provides pre-trained deep learning models for the Jax/Flax ecosystem.
ResNet library
Provides implementations and checkpoints for various ResNet variants using JAX and Flax.
Deep learning library
An end-to-end deep learning library with clear code and speed
Deep Learning Models
Provides a collection of deep learning models and utilities in JAX/Flax for research purposes.
Neural Network Library
A high-level neural network API for defining and training complex hierarchical networks of finite or infinite width
Gradient optimizer library
A gradient processing and optimization library designed to facilitate research and productivity in machine learning by providing building blocks for custom optimizers and gradient processing components.
JAX tutorial series
A repository providing tutorials and resources to learn JAX, a popular alternative to PyTorch and TensorFlow for machine learning.
Graph library
A lightweight library for working with graph neural networks in jax.
RL library
Provides JAX implementations of various reinforcement learning algorithms with continuous action spaces.
Deep learning optimizer
An open-source project providing hardware accelerated, batchable and differentiable optimizers in JAX for deep learning.
LLM framework
A framework for training and serving large language models using JAX/Flax
RL framework
A research framework for fast prototyping of reinforcement learning algorithms.
ML framework
A framework for configuring and running machine learning experiments on top of Jax.
Neural network library
A JAX-based library for building and running neural networks with ease.
Featured in 4 awesome lists
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