HIPS / autograd
Efficiently computes derivatives of NumPy code.
☆7,254Updated 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☆8,742Updated last week
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,402Updated 3 months ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,014Updated last week
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,840Updated last year
- A Python toolbox for performing gradient-free optimization☆4,051Updated last week
- NumPy & SciPy for GPU☆10,164Updated this week
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆32,098Updated this week
- Flax is a neural network library for JAX that is designed for flexibility.☆6,527Updated this week
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,331Updated last week
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,882Updated last week
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,692Updated last month
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,459Updated 2 weeks ago
- Bayesian optimization in PyTorch☆3,251Updated this week
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆17,167Updated last week
- Source-to-Source Debuggable Derivatives in Pure Python☆2,316Updated 2 years ago
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,933Updated this week
- TensorFlow's Visualization Toolkit☆6,859Updated last week
- Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays…☆9,945Updated last year
- JAX-based neural network library☆3,021Updated this week
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,297Updated 5 months ago
- Bayesian Modeling and Probabilistic Programming in Python☆8,993Updated this week
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆5,922Updated last month
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆26,875Updated this week
- A pedagogical implementation of Autograd☆978Updated 4 years ago
- Uniform Manifold Approximation and Projection☆7,747Updated this week
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆23,008Updated this week
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,651Updated last week
- A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.☆10,130Updated 11 months ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆6,981Updated 2 weeks ago
- A flexible framework of neural networks for deep learning☆5,909Updated last year