Stars
😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识
An implementation of a deep learning recommendation model (DLRM)
For educational materials related to the spinning up workshops.
A GPU-powered real-time analytics storage and query engine.
Facilitating the design, comparison and sharing of deep text matching models.
Apache Beam is a unified programming model for Batch and Streaming data processing.
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Tars is a high-performance RPC framework based on name service and Tars protocol, also integrated administration platform, and implemented hosting-service via flexible schedule.
Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
A curated list to learn about distributed systems
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
Book about interpretable machine learning
PyTorch reimplementation of Interactive Deep Colorization
A collection of pre-trained, state-of-the-art models in the ONNX format
The source code of "Deep Exemplar-based Colorization".
Seminars DeepBayes Summer School 2018
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
Learning Blind Video Temporal Consistency (ECCV 2018)
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Cloud-native high-performance edge/middle/service proxy