Deep learning topic
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
pytorch_highway_networks
Highway networks implemented in PyTorch.
Continual_Learning_Data_Former
A pytorch compatible data loader to create sequence of tasks for Continual Learning
Deep-AutoEncoder-Recommendation
Keras implementation of AutoRec and DeepRecommender from Nvidia.
Adversarial_Video_Generation
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
drq
DrQ: Data regularized Q
exorl
ExORL: Exploratory Data for Offline Reinforcement Learning
proto
Proto-RL: Reinforcement Learning with Prototypical Representations
pytorch_sac
PyTorch implementation of Soft Actor-Critic (SAC)
pytorch_sac_ae
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
arxiv-sanity-lite
arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.