nichalin's starred repositories
Practical_RL
A course in reinforcement learning in the wild
OSSDC-VisionBasedACC
Discuss requirments and develop code for #1-mvp-vbacc MVP (see also this channel on ossdc.org Slack)
tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
100-nlp-papers
100 Must-Read NLP Papers
pytorch-vae
A Variational Autoencoder (VAE) implemented in PyTorch
Variational-Autoencoder-PyTorch
Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset
deformable-convolution-pytorch
PyTorch implementation of Deformable Convolution
Deformable-ConvNets
Deformable Convolutional Networks
Flow-Guided-Feature-Aggregation
Flow-Guided Feature Aggregation for Video Object Detection
Deep-Feature-Flow
Deep Feature Flow for Video Recognition
Semantic_Compositional_Nets
The Theano code for the CVPR 2017 paper "Semantic Compositional Networks for Visual Captioning"
Triangle-GAN
implementation for NIPS paper Triangle Generative Adversarial Networks
MDP_Tracking
Reinforcement learning based multi object tracker
MDP_Tracking
Learning to Track: Online Multi-Object Tracking by Decision Making
really-awesome-gan
A list of papers on Generative Adversarial (Neural) Networks
ValuePolicyIterationVariations
Experiments testing variants of Value and Policy iterations.
MultiStepBootstrappingInRL
Here, we compare Q(\sigma) learning presented by Sutton and Barto in [1] to Tree-Backup, n-step Expected Sarsa, and n-step Sarsa.