Mesh TensorFlow: Model Parallelism Made Easier

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

A curated list of Meta-Learning resources/papers.

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

Galileo library for large scale graph training by JD

Simplified implementation for Domain Seperation Networks

Domain-Adversarial Neural Network in Tensorflow

EasyTransfer is designed to make the development of transfer learning in NLP applications easier.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

A collection of AWESOME things about domian adaptation

Re-implementation of TensorFlow in pure python, with an emphasis on code understandability

A distributed graph deep learning framework.

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neu…

Java后端知识图谱🔥 帮助Java初学者成长

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

国内公司人工智能方向（含机器学习、深度学习、计算机视觉和自然语言处理）岗位的招聘信息（含全职、实习和校招）

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

Resume template for Chinese programmers . 程序员简历模板系列。包括PHP程序员简历模板、iOS程序员简历模板、Android程序员简历模板、Web前端程序员简历模板、Java程序员简历模板、C/C++程序员简历模板、NodeJS程序员简历模板、架构师简历模板以及通用程序员简历模板

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

Startups about artificial intelligence. (DM, ML, NLP, CV...)

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

A collection of Jupyter notebooks developed by the community showing how to use Qiskit

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

Supervised community detection with line graph neural networks

Attention based model for learning to solve different routing problems

Graph Convolutional Networks in PyTorch

resources for graph convolutional networks （图卷积神经网络相关资源）