Kamen Bliznashki

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

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

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

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

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

spatial_transformer. Pytorch reimplementation of Spatial Transformer Networks and Inverse Compositional STN

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