SU02aiggshon's Stars
eyounx/VirtualTaobao
Virtual-Taobao simulators with OpenAI Gym interface
siamakz/iVAE
VAEs and nonlinear ICA: a unifying framework
iie-cas/TIANCHI
商场中精确定位用户所在店铺
cheungdaven/DeepRec
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
dgliu/SIGIR20_KDCRec
Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"
Huxpro/huxpro.github.io
My Blog / Jekyll Themes / PWA
clinicalml/cfrnet
Counterfactual Regression
Osier-Yi/SITE
rjagerman/wsdm2019-nonstationary
Non-stationary Off-policy Evaluation
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
d909b/drnet
💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.
d909b/perfect_match
➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
graphhopper/map-matching
The map matching functionality is now located in the main repository https://github.com/graphhopper/graphhopper#map-matching
jiqizhixin/Artificial-Intelligence-Terminology-Database
A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain
NotAnyMike/UnsupervisedDepthAndPose
Implementation of Unsupervised Learning of Depth and Ego-Motion from Video
MathiasGruber/PConv-Keras
Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai
facebookresearch/swav
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
brightmart/nlp_chinese_corpus
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
jojonki/word2vec-pytorch
keras-rl/keras-rl
Deep Reinforcement Learning for Keras.
loggerhead/shadowsocks-rust
Oh my implementation of Shadowsocks in Rust
anishathalye/neural-style
Neural style in TensorFlow! 🎨
google/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
HuiSiqi/II
Image inpaiting research bench
sootlasten/disentangled-representation-papers
A curated list of research papers related to learning disentangled representations
NeuromatchAcademy/course-content
NMA Computational Neuroscience course
uhh-lt/bert-sense
Source code accompanying the KONVENS 2019 paper "Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings"
xu-ji/IIC
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
petgraph/petgraph
Graph data structure library for Rust.
crazydonkey200/neural-symbolic-machines
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.