rueycheng

rueycheng's Stars

• facebookresearch/fairscale

  PyTorch extensions for high performance and large scale training.

  Language:Python3.2k281

• ovalhub/pyicu

  The PyICU project repository has moved to https://pyicu.org.

  Language:C++13349

• QingyaoAi/Amazon-Product-Search-Datasets

  An benchmark dataset for personalized product search built on Amazon review data

  489

• avehtari/BDA_py_demos

  Bayesian Data Analysis demos for Python

  Language:Jupyter Notebook996300

• castorini/pyserini

  Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

  Language:Python1.7k375

• koursaros-ai/nboost

  NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)

  Language:Python67569

• castorini/duobert

  Multi-stage passage ranking: monoBERT + duoBERT

  Language:Python11215

• jayded/eraserbenchmark

  A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/

  Language:Python9725

• microsoft/ANCE

  A novel embedding training algorithm leveraging ANN search and achieved SOTA retrieval on Trec DL 2019 and OpenQA benchmarks

  Language:Python36350

• microsoft/DeepSpeed

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

  Language:Python35.5k4.1k

• thunlp/OpenMatch

  An Open-Source Package for Information Retrieval.

  Language:Python44742

• bhargaviparanjape/explainable_qa

  Implementation for https://arxiv.org/abs/2005.00652

  Language:Python273

• minerllabs/baselines

  A collection of baselines for the MineRL environment/datasets & the NeurIPS 2021 MineRL competitions

  Language:Python14633

• MrSyee/pg-is-all-you-need

  Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

  Language:Jupyter Notebook860119

• facebookresearch/higher

  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

  Language:Python1.6k123

• catalyst-team/catalyst

  Accelerated deep learning R&D

  Language:Python3.3k390

• alexa/dialoglue

  DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue

  Language:Python28127

• hosseinfani/ReQue

  A Benchmark Workflow and Dataset Collection for Query Refinement

  Language:Python251

• sebastian-hofstaetter/neural-ranking-kd

  Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

  Language:Jupyter Notebook1087

• maszhongming/MatchSum

  Code for ACL 2020 paper: "Extractive Summarization as Text Matching"

  Language:Python520107

• wildltr/ptranking

  Learning to Rank in PyTorch

  Language:Python47469

• glample/fastBPE

  Fast BPE

  Language:C++65696

• MC-BERT/MC-BERT

  Language:Python9711

• ireval/cwl

  An evaluation script based on the C/W/L framework that is TREC Compatible and provides a replacement for TREC_EVAL and independent scripts for INST, RBP, TBG and U-Measure, etc. All measurements are reported in the same units making all metrics directly comparable.

  Language:Python158

• AdeDZY/DeepCT

  DeepCT and HDCT uses BERT to generate novel, context-aware bag-of-words term weights for documents and queries.

  Language:Python31246

• bmitra-msft/TREC-Deep-Learning-Quick-Start

  Language:Python334

• yhirose/cpp-httplib

  A C++ header-only HTTP/HTTPS server and client library

  Language:C++13.1k2.3k

• stanfordnlp/stanza

  Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

  Language:Python7.3k894

• uclanlp/reducingbias

  Language:Jupyter Notebook8222

• facebookresearch/DPR

  Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

  Language:Python1.7k303