Git Product home page Git Product logo
  • Hi there :)
  • I’m interested in Matrix Optimization, Wavelet Analysis, Graph Theory, and Graph Machine Learning.
  • I still remian my love in Management Science and Engineering, particularly in stochastic process mathematical models and algorithms. The mathematical nature of problems never ceases to intrigue and excite me.
  • Fun fact: INTJ-T

猫不理狗子's Projects

aisystem icon aisystem

AISystem 主要是指AI系统,包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

autogpt icon autogpt

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

awesome-ssl4ts icon awesome-ssl4ts

A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).

deepseek-moe icon deepseek-moe

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dspy icon dspy

DSPy: The framework for programming—not prompting—foundation models

eulerformer icon eulerformer

[SIGIR 2024] This is the official PyTorch implementation for the paper: "EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention".

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

glove icon glove

Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings

graph-mixture-of-experts icon graph-mixture-of-experts

[NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Rao Kompella, Zhangyang Wang

graph-rag icon graph-rag

Graph based retrieval + GenAI = Better RAG in production

graphmae icon graphmae

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

graphrag icon graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

hgb icon hgb

Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.