Pinned Repositories
awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
block
An intelligent block matrix library for numpy, PyTorch, and beyond.
blocksparse
Efficient GPU kernels for block-sparse matrix multiplication and convolution
GCN-LPA
A tensorflow implementation of GCN-LPA
graph-pooling-papers
Papers on Graph Pooling (GNN-Pooling)
HadoopIntellijPlugin
IntelliJ IDEA Plugin for Hadoop
PaRMAT
Multi-threaded Large-Scale RMAT Graph Generator.
pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
THU-DeepHypergraph
A pytorch library for hypergraph learning.
WASP-Graph-Partitioner
hookk's Repositories
hookk/awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
hookk/agents
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
hookk/Awesome-CLIP
Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
hookk/awesome-gnn-systems
A list of awesome GNN systems.
hookk/awesome-mixture-of-experts
A collection of AWESOME things about mixture-of-experts
hookk/capsule-GAN
Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
hookk/ChatGPTAuthHelper
A simple Chrome extension to help you login ChatGPT.
hookk/CTSMA-ICML21
Code for ICML21 paper "Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation"
hookk/DeepMatrixCapsules
Deep Matrix Capsules Implementation
hookk/distributed-graph-partitioner
Scripts to install and run experiments with various distributed graph partitioners
hookk/EasyRec
A framework for large scale recommendation algorithms.
hookk/FPGA-ASIC-Roadmap
A roadmap for those who want to build a career as an FPGA / ASIC Engineer
hookk/gli
🗂 Graph Learning Indexer: a contributor-friendly and metadata-rich platform for graph learning benchmarks. Dataloading, Benchmarking, Tagging, and more!
hookk/GRU4Rec
GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.
hookk/heinsen_routing
Reference implementation of "An Algorithm for Routing Vectors in Sequences" (Heinsen, 2022) and "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019), for composing deep neural networks.
hookk/intent-capsnet-pytorch
IntentCapsNet implementation in Pytorch
hookk/KGs-Survey
This is a repository of knowledge graphs survey paper that will be updated periodically.
hookk/mab2rec
Mab2Rec: Multi-Armed Bandits Recommender
hookk/mabwiser
[IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library
hookk/metis
Interpreting Deep Learning-Based Networking Systems (SIGCOMM 2020)
hookk/MIND
Pytorch implementation of paper: Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
hookk/multimodal-self-distillation
A generalized self-supervised training paradigm for unimodal and multimodal alignment and fusion.
hookk/MultiscaleGraphSignalTransforms.jl
MultiscaleGraphSignalTransforms.jl is a collection of software tools written in the Julia programming language for graph signal processing including HGLET, GHWT, eGHWT, NGWP, Lapped NGWP, and Lapped HGLET. Some of them were originally written in MATLAB by Jeff Irion, but we added more functionalities, e.g., eGHWT, NGWP, etc.
hookk/nanobdd
First-ever high-performance thread-safe BDD library
hookk/openai-translator
基于 ChatGPT API 的划词翻译浏览器插件和跨平台桌面端应用 - Browser extension and cross-platform desktop application for translation based on ChatGPT API.
hookk/pandora
潘多拉，一个让你呼吸顺畅的ChatGPT。Pandora, a ChatGPT that helps you breathe smoothly.
hookk/recommenders
Best Practices on Recommendation Systems
hookk/RecSysDatasets
This is a repository of public data sources for Recommender Systems (RS).
hookk/torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆20 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
hookk/tugraph-db
TuGraph is a high performance graph database.