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Virtual-Taobao simulators with OpenAI Gym interface
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"
Non-stationary Off-policy Evaluation
An index of algorithms for learning causality with data
💉📈 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.
➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
The map matching functionality is now located in the main repository https://github.com/graphhopper/graphhopper#map-matching
A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain
Implementation of Unsupervised Learning of Depth and Ego-Motion from Video
Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
Oh my implementation of Shadowsocks in Rust
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
A curated list of research papers related to learning disentangled representations
NMA Computational Neuroscience course
Source code accompanying the KONVENS 2019 paper "Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings"
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.