HIPS / autogradLinks
Efficiently computes derivatives of NumPy code.
☆7,276Updated this week
Alternatives and similar repositories for autograd
Users that are interested in autograd are comparing it to the libraries listed below
Sorting:
- Flax is a neural network library for JAX that is designed for flexibility.☆6,575Updated this week
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,836Updated last year
- Deep universal probabilistic programming with Python and PyTorch☆8,773Updated last month
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆32,386Updated this week
- A Python toolbox for performing gradient-free optimization☆4,071Updated this week
- A scikit-learn compatible neural network library that wraps PyTorch☆6,032Updated last month
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,340Updated last week
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,422Updated this week
- Bayesian Modeling and Probabilistic Programming in Python☆9,046Updated this week
- NumPy & SciPy for GPU☆10,233Updated this week
- JAX-based neural network library☆3,034Updated this week
- Bayesian optimization in PyTorch☆3,271Updated this week
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,943Updated last month
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,709Updated 2 months ago
- Uniform Manifold Approximation and Projection☆7,796Updated 2 weeks ago
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,494Updated last month
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,305Updated 6 months ago
- A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.☆10,148Updated last year
- Lime: Explaining the predictions of any machine learning classifier☆11,890Updated 10 months ago
- A game theoretic approach to explain the output of any machine learning model.☆23,930Updated last week
- Source-to-Source Debuggable Derivatives in Pure Python☆2,316Updated 2 years ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆6,990Updated last week
- A pedagogical implementation of Autograd☆981Updated 5 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,339Updated last year
- Web interface for browsing, search and filtering recent arxiv submissions☆5,289Updated 3 years ago
- A technical report on convolution arithmetic in the context of deep learning☆14,356Updated last year
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,665Updated 3 weeks ago
- A Python implementation of global optimization with gaussian processes.☆8,256Updated last week
- Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays…☆9,943Updated last year
- Sequential model-based optimization with a `scipy.optimize` interface☆2,771Updated last year