XuchanBao

linear-ae

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

double-ftr

tensorflow_multigpu_imagenet

Tensorflow code for training different architectures(DenseNet, ResNet, AlexNet, GoogLeNet, VGG, NiN) on ImageNet dataset + Multi-GPU support + Transfer Learning support

AlexNet

ImageNet Classification with Deep Convolutional Neural Networks

android-charge-protector

cs231n.github.io

Public facing notes page

ICCV2019-LearningToPaint

ICCV2019 - A painting AI that can reproduce paintings stroke by stroke using deep reinforcement learning.

lr-adaptation

LTE

lucid

A collection of infrastructure and tools for research in neural network interpretability.

models

Models and examples built with TensorFlow

POPLIN

prototypical-networks

Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

pytorch-trpo

PyTorch implementation of Trust Region Policy Optimization

slbo

Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees

spectral_inference_networks

Implementation of Spectral Inference Networks, ICLR 2019