Kekun HU's repositories
awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
agents
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Awesome-CLIP
Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
awesome-mixture-of-experts
A collection of AWESOME things about mixture-of-experts
capsule-GAN
Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
ChatGPTAuthHelper
A simple Chrome extension to help you login ChatGPT.
CTSMA-ICML21
Code for ICML21 paper "Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation"
DALI
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
DeepMatrixCapsules
Deep Matrix Capsules Implementation
distributed-graph-partitioner
Scripts to install and run experiments with various distributed graph partitioners
EasyRec
A framework for large scale recommendation algorithms.
gli
🗂 Graph Learning Indexer: a contributor-friendly and metadata-rich platform for graph learning benchmarks. Dataloading, Benchmarking, Tagging, and more!
Graph-Label-invariant-Augmentation
Source Code for "Label-invariant Augmentation for Semi-Supervised Graph Classification"
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.
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.
intent-capsnet-pytorch
IntentCapsNet implementation in Pytorch
KGs-Survey
This is a repository of knowledge graphs survey paper that will be updated periodically.
mab2rec
Mab2Rec: Multi-Armed Bandits Recommender
mabwiser
[IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library
metis
Interpreting Deep Learning-Based Networking Systems (SIGCOMM 2020)
MIND
Pytorch implementation of paper: Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
multimodal-self-distillation
A generalized self-supervised training paradigm for unimodal and multimodal alignment and fusion.
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.
nanobdd
First-ever high-performance thread-safe BDD library
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.
pandora
潘多拉，一个让你呼吸顺畅的ChatGPT。Pandora, a ChatGPT that helps you breathe smoothly.
recommenders
Best Practices on Recommendation Systems
RecSysDatasets
This is a repository of public data sources for Recommender Systems (RS).
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.
tugraph-db
TuGraph is a high performance graph database.