A simple command line tool to show GPU usage on a SLURM cluster

This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

Train transformer language models with reinforcement learning.

Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models]{Topic-oriented Adversarial Attacks

Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

[NeurIPS 2023] Codebase for the paper: "Guiding Large Language Models with Directional Stimulus Prompting"

A modular RL library to fine-tune language models to human preferences

A PyTorch Library for Multi-Task Learning

注意力机制实践

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

Is Vec2Text Really a Threat toDense Retrieval Systems?

Some useful tips for faiss

Simple replication of [ColBERT-v1](https://arxiv.org/abs/2004.12832).

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Resources on how to use the GPU clusters

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Anserini notebooks

Onboarding guide to Jimmy Lin's research group at the University of Waterloo

The Student's Guide to @lintool

A library for efficient similarity search and clustering of dense vectors.

A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).