google / objax
☆770Updated last year
Alternatives and similar repositories for objax:
Users that are interested in objax are comparing it to the libraries listed below
- A High Level API for Deep Learning in JAX☆475Updated 2 years ago
- ☆848Updated last week
- PIX is an image processing library in JAX, for JAX.☆415Updated 2 months ago
- A platform for managing machine learning experiments☆848Updated 2 weeks ago
- PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code☆698Updated 2 years ago
- ☆566Updated last week
- CLU lets you write beautiful training loops in JAX.☆337Updated last month
- functorch is JAX-like composable function transforms for PyTorch.☆1,424Updated this week
- JAX-based neural network library☆3,020Updated last week
- ☆347Updated last week
- ML Collections is a library of Python Collections designed for ML use cases.☆948Updated last week
- Optax is a gradient processing and optimization library for JAX.☆1,879Updated this week
- A Graph Neural Network Library in Jax☆1,427Updated last year
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆571Updated 2 years ago
- JAX - A curated list of resources https://github.com/google/jax☆1,796Updated 2 months ago
- ☆1,312Updated this week
- High performance model preprocessing library on PyTorch☆650Updated last year
- ☆156Updated last year
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆476Updated 2 years ago
- A Pytree Module system for Deep Learning in JAX☆214Updated 2 years ago
- 100 exercises to learn JAX☆576Updated 2 years ago
- [Prototype] Tools for the concurrent manipulation of variably sized Tensors.☆251Updated 2 years ago
- Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.☆1,429Updated last week
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆581Updated 4 months ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆962Updated 3 weeks ago
- ☆322Updated last year
- A library for distributed ML training with PyTorch☆366Updated 2 years ago
- The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflo…☆806Updated 3 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆861Updated 5 years ago
- Turn SymPy expressions into trainable JAX expressions.☆337Updated 2 weeks ago