Wei Huang's repositories
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ANCE_reference
A novel embedding training algorithm leveraging ANN search and achieved SOTA retrieval on Trec DL 2019 and OpenQA benchmarks
core-pytorch-utils_reference
Yet another PyTorch Trainer and some core components for deep learning.
dev_reference
Personal Development Toolkit 🛸
DRhard_reference
SIGIR'21: Optimizing DR with hard negatives and achieving SOTA first-stage retrieval performance on TREC DL Track.
GSAT_reference
[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
Instrumental-variables-for-recommendation_reference
The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"
LaTeX-Document_reference
LaTeX Templates for Document
LaTeX-Template-Cn_reference
\LaTeX 中文模版收集。
LRI_reference
[ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
Nauka_reference
Nauka is a collection of utilities for scientific experiments.
paper-reading
深度学习经典、新论文逐段精读
pytorch-docker_reference
Get image by: docker pull mortals/codeenv:pytorch-base
research-method_reference
论文写作与资料分享
tevatron_reference
Tevatron - A flexible toolkit for dense retrieval research and development.
torch_backbones_reference
Unofficial implementations of some classical CNN backbones with pytorch
torch_base_reference
Quickly bring up your PyTorch project(a skeleton)
UCAS_Beamer_reference
A LaTeX beamer theme template for UCAS students.
ucasthesis_reference
[最新样式] **科学院大学学位论文 LaTeX 模板 LaTeX Thesis Template for the University of Chinese Academy of Sciences
clash-for-linux-backup
Linux最完整的Clash for Linux的备份仓库，完全可以使用！由Yizuko进行修复及维护
cs230-code-examples_reference
Code examples in pyTorch and Tensorflow for CS230
disent_reference
🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib
DS-Take-Home_reference
My solution to the book A Collection of Data Science Take-Home Challenges
WSL_GNOME_reference
Environment configuration for WSL running Gnome