HIPS / autogradLinks
Efficiently computes derivatives of NumPy code.
☆7,347Updated last week
Alternatives and similar repositories for autograd
Users that are interested in autograd are comparing it to the libraries listed below
Sorting:
- Deep universal probabilistic programming with Python and PyTorch☆8,853Updated 2 months ago
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,376Updated last week
- Flax is a neural network library for JAX that is designed for flexibility.☆6,793Updated this week
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,835Updated last year
- A scikit-learn compatible neural network library that wraps PyTorch☆6,113Updated 3 weeks ago
- A Python-embedded modeling language for convex optimization problems.☆5,894Updated this week
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆33,366Updated this week
- A Python toolbox for performing gradient-free optimization☆4,114Updated 3 months ago
- JAX-based neural network library☆3,085Updated last week
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,587Updated last month
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,333Updated last week
- A pedagogical implementation of Autograd☆997Updated 5 years ago
- Source-to-Source Debuggable Derivatives in Pure Python☆2,318Updated 2 years ago
- Bayesian optimization in PyTorch☆3,342Updated this week
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,769Updated last week
- TensorLy: Tensor Learning in Python.☆1,631Updated 4 months ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,468Updated 3 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,160Updated last month
- Fast and Easy Infinite Neural Networks in Python☆2,358Updated last year
- TensorFlow-based neural network library☆9,880Updated last month
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,524Updated last week
- Spearmint Bayesian optimization codebase☆1,560Updated 5 years ago
- Web interface for browsing, search and filtering recent arxiv submissions☆5,393Updated 3 years ago
- A Python implementation of global optimization with gaussian processes.☆8,385Updated last month
- Gaussian processes in TensorFlow☆1,890Updated 3 months ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,698Updated this week
- NumPy & SciPy for GPU☆10,479Updated this week
- Uniform Manifold Approximation and Projection☆7,933Updated 2 weeks ago
- Bayesian Modeling and Probabilistic Programming in Python☆9,216Updated this week
- Fast, flexible and easy to use probabilistic modelling in Python.☆3,472Updated 6 months ago