HIPS / autograd
Efficiently computes derivatives of NumPy code.
☆7,193Updated this week
Alternatives and similar repositories for autograd:
Users that are interested in autograd are comparing it to the libraries listed below
- Deep universal probabilistic programming with Python and PyTorch☆8,693Updated last week
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,836Updated last year
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆31,708Updated this week
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,364Updated last month
- A scikit-learn compatible neural network library that wraps PyTorch☆5,986Updated last week
- NumPy & SciPy for GPU☆10,013Updated this week
- Flax is a neural network library for JAX that is designed for flexibility.☆6,421Updated this week
- A Python toolbox for performing gradient-free optimization☆4,015Updated last week
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,302Updated this week
- Bayesian Modeling and Probabilistic Programming in Python☆8,921Updated this week
- Web interface for browsing, search and filtering recent arxiv submissions☆5,234Updated 3 years ago
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,423Updated last month
- A collection of infrastructure and tools for research in neural network interpretability.☆4,687Updated 2 years ago
- Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays…☆9,934Updated last year
- JAX-based neural network library☆2,990Updated last week
- Bayesian optimization in PyTorch☆3,199Updated this week
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,598Updated this week
- NumPy aware dynamic Python compiler using LLVM☆10,300Updated this week
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,287Updated 3 months ago
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,919Updated 2 months ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,409Updated last week
- A Python implementation of global optimization with gaussian processes.☆8,133Updated this week
- A flexible framework of neural networks for deep learning☆5,911Updated last year
- Source-to-Source Debuggable Derivatives in Pure Python☆2,316Updated 2 years ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,805Updated last month
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,665Updated last week
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆26,722Updated this week
- A Python-embedded modeling language for convex optimization problems.☆5,668Updated this week
- Sequential model-based optimization with a `scipy.optimize` interface☆2,763Updated last year
- Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allredu…☆8,535Updated 5 months ago