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The Generative AI Landscape - A Collection of Awesome Generative AI Applications
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Collect awesome best papers from top AI conferences.
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
The most cited deep learning papers
A collection of important graph embedding, classification and representation learning papers with implementations.
Papers about graph transformers.
[KDD'2024 Survey+Tutorial] "LLM4Graph: A Survey of Large Language Models for Graphs"
Awesome Papers related to Mamba.
A curated list of awesome network analysis resources.
A curated list of network embedding techniques.
Random Walk (Personalized PageRank) Algorithms for Large Graphs
Code for paper Unsupervised Attributed Network Embedding via Cross Fusion (WSDM 2021)
Clustering evaluation metrics: RI, NMI and Conductance
Implemented different clustering algorithms and evaluated its efficiency
Implementation of a random-walk based algorithm Walktrap to efficiently find clusters in graphs.
DeepGNN is a framework for training machine learning models on large scale graph data.
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Deep Learning Book Chinese Translation
a Deep Learning Framework for Text
Last Dance for Peking University
Code for the KDD21 paper "Subset Node Representation Learning over Large Dynamic Graphs"
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
XTlib is an API and command line tool for scaling and managing ML experiments. The goal of XTLib is to enable you to effortlessly organize and scale your ML experiments. Our tools offer an incremental approach to adoption, so you can begin realizing benefits immediately..
Faster graph embeddings via coarsening (ICML 2020)
Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
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.