☆774Jan 27, 2024Updated 2 years ago
Alternatives and similar repositories for objax
Users that are interested in objax are comparing it to the libraries listed below
Sorting:
- JAX-based neural network library☆3,191Updated this week
- ☆925Jan 29, 2026Updated 3 weeks ago
- Optax is a gradient processing and optimization library for JAX.☆2,193Updated this week
- ☆153May 25, 2020Updated 5 years ago
- A High Level API for Deep Learning in JAX☆476Dec 15, 2022Updated 3 years ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,027Dec 17, 2025Updated 2 months ago
- PIX is an image processing library in JAX, for JAX.☆434Mar 6, 2025Updated 11 months ago
- ☆620Jan 23, 2026Updated last month
- EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax☆129Jan 4, 2024Updated 2 years ago
- JAX - A curated list of resources https://github.com/google/jax☆2,058Jan 20, 2026Updated last month
- ☆1,407Dec 9, 2025Updated 2 months ago
- Documentation:☆129May 22, 2023Updated 2 years ago
- Flax is a neural network library for JAX that is designed for flexibility.☆7,082Updated this week
- A Graph Neural Network Library in Jax☆1,464Mar 18, 2024Updated last year
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,627Mar 25, 2022Updated 3 years ago
- A Pytree Module system for Deep Learning in JAX☆213Feb 26, 2023Updated 3 years ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,610Updated this week
- CLU lets you write beautiful training loops in JAX.☆366Feb 20, 2026Updated last week
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,784Updated this week
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆330Mar 20, 2024Updated last year
- Trax — Deep Learning with Clear Code and Speed☆8,304Sep 26, 2025Updated 5 months ago
- Fast and Easy Infinite Neural Networks in Python☆2,375Mar 1, 2024Updated last year
- JMP is a Mixed Precision library for JAX.☆211Jan 30, 2025Updated last year
- This project was moved to: https://github.com/coax-dev/coax☆161Nov 28, 2022Updated 3 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆241Dec 22, 2023Updated 2 years ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆119Jun 5, 2022Updated 3 years ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,401Feb 20, 2026Updated last week
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆34,940Updated this week
- functorch is JAX-like composable function transforms for PyTorch.☆1,436Aug 21, 2025Updated 6 months ago
- Mathematical operations for JAX pytrees☆209Dec 5, 2024Updated last year
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,020Feb 3, 2026Updated 3 weeks ago
- ☆213Jan 31, 2022Updated 4 years ago
- jax-triton contains integrations between JAX and OpenAI Triton☆439Updated this week
- Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimenta…☆549Updated this week
- Framework-agnostic library for checking array/tensor shapes at runtime.☆46May 4, 2021Updated 4 years ago
- ☆192Feb 16, 2026Updated last week
- Research language for array processing in the Haskell/ML family☆1,664Jan 5, 2026Updated last month
- PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code☆699Mar 25, 2023Updated 2 years ago
- ☆164Dec 13, 2023Updated 2 years ago