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🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
This is the official implementation of "Arbitrary-Order Proximity Preserved Network Embedding"(KDD 2018).
[ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"
Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"
embedx 是基于 c++ 开发的、完全自研的分布式 embedding 训练和推理框架。它目前支持 图模型、深度排序、召回模型和图与排序、图与召回的联合训练模型等
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).
This is a sample implementation of "Asymmetric Transitivity Preserving Graph Embedding"(KDD 2016).
Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks
Learning Based Proximity Matrix Factorization for Node Embedding
Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"
Code for Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank
An Open-Source Package for Network Embedding (NE)
Official repository for ICLR'23 paper: Multi-task Self-supervised Graph Neural Network Enable Stronger Task Generalization
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings"
关于一些经典论文源码的逐行中文笔记
:fire: Linux下C++轻量级Web服务器学习
[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang
This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (CVPR 2021) in PyTorch.
Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper
Blog
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.