izmailovpavel

understandingbdl

flowgmm

torch_swa_examples

spurious_feature_learning

contrib_swa_examples

bnn_covariate_shift

Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"

TTGP

neurips_bdl_starter_kit

gplib

Gaussian Process library for Machine Learning

rl-seminar

A supporting repository for our Reinforcement Learning student seminar

contrib

Implementations of ideas from recent papers

pytorch_swa

Tensors and Dynamic neural networks in Python with strong GPU acceleration

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

CourseProject

My course project 2015–2016

flows_ood

google-research

Google Research

jekyll-theme

Jekyll theme for AISTATS conference pages.

ml-course-msu

Lecture notes and code for Machine Learning practical course on CMC MSU

ML-Seminars

Code for my machine learning seminars in MSU

models

Models and examples built with TensorFlow

Optimization

Code related to numerical optimization

pixel-cnn-pp

Pytorch Implementation of OpenAI's PixelCNN++

Practicum

code for practicum in MSU

tensorflow

Computation using data flow graphs for scalable machine learning