blei-lab / edwardLinks
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
☆4,842Updated last year
Alternatives and similar repositories for edward
Users that are interested in edward are comparing it to the libraries listed below
Sorting:
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,400Updated this week
- Fast, flexible and easy to use probabilistic modelling in Python.☆3,506Updated 10 months ago
- Deep universal probabilistic programming with Python and PyTorch☆8,945Updated 5 months ago
- Spearmint Bayesian optimization codebase☆1,560Updated 6 years ago
- Gaussian processes in TensorFlow☆1,897Updated 7 months ago
- A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow☆2,220Updated 3 years ago
- Deep learning with dynamic computation graphs in TensorFlow☆1,823Updated 4 years ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,393Updated 8 years ago
- A TensorFlow implementation of the Differentiable Neural Computer.☆2,522Updated 4 years ago
- Efficiently computes derivatives of NumPy code.☆7,434Updated last week
- Bayesian Modeling and Probabilistic Programming in Python☆9,425Updated this week
- Lightweight library to build and train neural networks in Theano☆3,864Updated 3 years ago
- Learning to Learn in TensorFlow☆4,070Updated 4 years ago
- Python library for Causal AI☆3,130Updated 2 weeks ago
- Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning☆3,169Updated 4 years ago
- Summaries and notes on Deep Learning research papers☆4,418Updated 7 years ago
- Topics Course on Deep Learning UC Berkeley☆1,304Updated 8 years ago
- Source-to-Source Debuggable Derivatives in Pure Python☆2,317Updated 3 years ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,585Updated 3 weeks ago
- An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorpor…☆2,564Updated 5 years ago
- NumPy interface with mixed backend execution☆1,102Updated 7 years ago
- Tutorials and implementations for "Self-normalizing networks"☆1,589Updated 3 weeks ago
- Intel® Nervana™ reference deep learning framework committed to best performance on all hardware☆3,869Updated 5 years ago
- A python tutorial on bayesian modeling techniques (PyMC3)☆2,509Updated 8 years ago
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,355Updated 2 months ago
- THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:☆876Updated 5 years ago
- Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.☆4,443Updated 2 years ago
- A Python toolbox for gaining geometric insights into high-dimensional data☆1,877Updated 5 months ago
- Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE☆1,959Updated 9 years ago
- DyNet: The Dynamic Neural Network Toolkit☆3,434Updated 2 years ago