ttkhang2

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, ... 🧠

TWOLAR

RankGPT

Is ChatGPT Good at Search? LLMs as Re-Ranking Agent [EMNLP 2023 Outstanding Paper Award]

TILDE

tevatron

Tevatron - A flexible toolkit for neural retrieval research and development.

MsMarco

Re-ranking task using MS MARCO dataset and Hugging Face library

FlashRAG

⚡FlashRAG: A Python Toolkit for Efficient RAG Research

30-Day-LeetCoding-Challenge

Solutions to every question in the 30-Day-LeetCoding-Challenge

RAGatouille

Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

FlagEmbedding

Retrieval and Retrieval-augmented LLMs

beir-ColBERT

Evaluation of BEIR Datasets using ColBERT retrieval model

neural-ranking-kd

Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

teaching

Open-Source Information Retrieval Courses @ TU Wien

anserini

Anserini is a Lucene toolkit for reproducible information retrieval research

contriever

Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning

longformer-marco

Longformer for MS MARCO document re-ranking task.

RocketQA

🚀 RocketQA, dense retrieval for information retrieval and question answering, including both Chinese and English state-of-the-art models.

beam_retriever

[NAACL 2024] End-to-End Beam Retrieval for Multi-Hop Question Answering

zalo_ltr_2021

Source code for Zalo AI 2021 submission

Condenser

EMNLP 2021 - Pre-training architectures for dense retrieval

information-retrieval

Neural information retrieval / semantic-search / Bi-Encoders

OpenNMT-py

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

Self-Attention-GAN

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

Getting-Started-with-Google-BERT

Getting Started with Google BERT, published by Packt

transformer

Dịch máy giữa ngôn ngữ anh-viet

news-recommendation

Implementations of some methods in news recommendation.

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

pandas_exercises

Practice your pandas skills!

30-Days-Of-Python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

numpy-100

100 numpy exercises (with solutions)