pyro-ppl / pyroLinks
Deep universal probabilistic programming with Python and PyTorch
☆8,835Updated last month
Alternatives and similar repositories for pyro
Users that are interested in pyro are comparing it to the libraries listed below
Sorting:
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,837Updated last year
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,363Updated this week
- Efficiently computes derivatives of NumPy code.☆7,335Updated this week
- Bayesian Modeling and Probabilistic Programming in Python☆9,175Updated this week
- A scikit-learn compatible neural network library that wraps PyTorch☆6,095Updated last week
- A Python toolbox for performing gradient-free optimization☆4,112Updated 2 months ago
- Adaptive Experimentation Platform☆2,559Updated this week
- Source-to-Source Debuggable Derivatives in Pure Python☆2,317Updated 2 years ago
- Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.☆2,509Updated last week
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,321Updated 8 months ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,756Updated last week
- Bayesian optimization in PyTorch☆3,332Updated this week
- TensorFlow-based neural network library☆9,878Updated 2 weeks ago
- Visualizations for machine learning datasets☆7,376Updated 2 years ago
- An open source python library for automated feature engineering☆7,520Updated this week
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,571Updated 3 weeks ago
- Python Library for Causal and Probabilistic Modeling using Bayesian Networks☆3,023Updated this week
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,459Updated 2 months ago
- Gaussian processes in TensorFlow☆1,886Updated 2 months ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,688Updated last month
- Fast, flexible and easy to use probabilistic modelling in Python.☆3,469Updated 5 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,127Updated last week
- NumPy & SciPy for GPU☆10,426Updated this week
- Sequential model-based optimization with a `scipy.optimize` interface☆2,788Updated last year
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆33,198Updated this week
- Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.☆10,793Updated 9 months ago
- Exploratory analysis of Bayesian models with Python☆1,713Updated last week
- Uniform Manifold Approximation and Projection☆7,909Updated last month
- Flax is a neural network library for JAX that is designed for flexibility.