kamenbliznashki

chexpert

CheXpert competition models -- attention augmented convolutions on DenseNet, ResNet; EfficientNet

examplepackage

generative_models

Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE

kamenbliznashki.github.io

learn_to_move

My solution to the NeurIPS challenge Learn to Move: Walk Around

noaaeq

normalizing_flows

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

pixel_models

Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL

spatial_transformer

Pytorch reimplementation of Spatial Transformer Networks and Inverse Compositional STN

sutton_barto

Python implementations of the RL algorithms in examples and figures in Sutton & Barto, Reinforcement Learning: An Introduction

kamenbliznashki/normalizing_flows

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

kamenbliznashki/generative_models

Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE

kamenbliznashki/sutton_barto

Python implementations of the RL algorithms in examples and figures in Sutton & Barto, Reinforcement Learning: An Introduction

kamenbliznashki/chexpert

CheXpert competition models -- attention augmented convolutions on DenseNet, ResNet; EfficientNet

kamenbliznashki/pixel_models

Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL

kamenbliznashki/spatial_transformer

Pytorch reimplementation of Spatial Transformer Networks and Inverse Compositional STN

kamenbliznashki/learn_to_move

My solution to the NeurIPS challenge Learn to Move: Walk Around

kamenbliznashki/examplepackage

kamenbliznashki/kamenbliznashki.github.io

kamenbliznashki/noaaeq

kamenbliznashki/prostate-cancer-grade-assessment