thjashin

thjashin's Stars

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python34.9k47919.2k5.9k

• horovod/horovod

  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

  Language:Python14.3k3342.2k2.2k

• cornellius-gp/gpytorch

  A highly efficient implementation of Gaussian Processes in PyTorch

  Language:Python3.6k581.3k561

• xtensor-stack/xtensor

  C++ tensors with broadcasting and lazy computing

  Language:C++3.4k911.2k403

• mkleehammer/pyodbc

  Python ODBC bridge

  Language:C++3k1221.1k565

• google/tangent

  Source-to-Source Debuggable Derivatives in Pure Python

  Language:Python2.3k6656436

• abseil/abseil-py

  Abseil Common Libraries (Python)

  Language:Python2.3k75113246

• thu-ml/zhusuan

  A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

  Language:Python2.2k14461419

• tkipf/gae

  Implementation of Graph Auto-Encoders in TensorFlow

  Language:Python1.7k3579351

• mattjj/autodidact

  A pedagogical implementation of Autograd

  Language:Jupyter Notebook959174101

• chi-feng/mcmc-demo

  Interactive Markov-chain Monte Carlo Javascript demos

  Language:JavaScript814267116

• openai/large-scale-curiosity

  Code for the paper "Large-Scale Study of Curiosity-Driven Learning"

  Language:Python8046120180

• samhocevar/lolremez

  📈 Polynomial Approximations using the Remez Algorithm

  Language:C++403212736

• wohlert/generative-query-network-pytorch

  Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"

  Language:Jupyter Notebook321142163

• arranger1044/awesome-spn

  A structured list of resources about Sum-Product Networks (SPNs)

  252221939

• mirceamironenco/BayesianRecurrentNN

  Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

  Language:Python2178440

• LMescheder/AdversarialVariationalBayes

  This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

  Language:Jupyter Notebook20611758

• ogroth/tf-gqn

  Tensorflow implementation of Neural Scene Representation and Rendering

  Language:Python188172736

• mrkulk/Unsupervised-Capsule-Network

  Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf

  Language:Lua17015236

• duvenaud/relax

  Optimizing control variates for black-box gradient estimation

  Language:Python16222430

• UCL-SML/Doubly-Stochastic-DGP

  Deep Gaussian Processes with Doubly Stochastic Variational Inference

  Language:Python148133847

• hughsalimbeni/bayesian_benchmarks

  A community repository for benchmarking Bayesian methods

  Language:Jupyter Notebook1109637

• markvdw/convgp

  Convolutional Gaussian processes based on GPflow.

  Language:Jupyter Notebook959625

• rhaps0dy/convnets-as-gps

  Code for "Deep Convolutional Networks as shallow Gaussian Processes"

  Language:Python39513

• zhegan27/Bayesian_RNN

  The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"

  Language:Python29607

• Alluxio/alluxio-py

  Alluxio Python client - Access Any Data Source with Python

  Language:Python26291025

• karlnapf/kernel_hmc

  Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"

  Language:Python25309

• BayesWatch/tf-variational-dropout

  Sparsifying Variational Dropout in Tensorflow

  Language:Python22766

• karlnapf/kernel_exp_family

  Various estimators of the infinite dimensional exponential family model

  Language:Python15509

• zhisbug/Cavs

  Cavs: An Efficient Runtime System for Dynamic Neural Networks

  Language:C++13912