AEGISEDGE's Stars
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
dxcweb/high-speed-downloader
已不再维护
open-power-workgroup/Hospital
OpenPower工作组收集汇总的医院开放数据
martinarjovsky/WassersteinGAN
ml874/Data-Science-Cheatsheet
salesforce/decaNLP
The Natural Language Decathlon: A Multitask Challenge for NLP
PetrochukM/PyTorch-NLP
Basic Utilities for PyTorch Natural Language Processing (NLP)
bayesgroup/deepbayes-2018
Seminars DeepBayes Summer School 2018
caserec/Datasets-for-Recommender-Systems
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
JiaxuanYou/graph-generation
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
tolstikhin/wae
Wasserstein Auto-Encoders
mukund109/word-mesh
A context-preserving word cloud generator
u39kun/deep-learning-benchmark
Deep Learning Benchmark for comparing the performance of DL frameworks, GPUs, and single vs half precision
NiltonVolpato/python-progressbar
Text progress bar library for Python
schelotto/Wasserstein-AutoEncoders
PyTorch implementation of Wasserstein Auto-Encoders
thu-coai/ccm
This project is a tensorflow implement of our work, CCM (Commonsense Conversational Model).
bpb27/trump_tweet_data_archive
Up-to-date Archive of Trump Tweets
jhlau/topic_interpretability
Computation of the semantic interpretability of topics produced by topic models.
ysmiao/nvdm
neural variational document model
bpb27/political_twitter_archive
twitter archives of political figures
blei-lab/ctm-c
This implements variational inference for the correlated topic model.