yhq (yuhongqian)

yuhongqian

Geek Repo

Company:Carnegie Mellon University

Location:Pittsburgh, PA

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yhq's starred repositories

reverse-interview

Questions to ask the company during your interview

sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

Language:PythonLicense:Apache-2.0Stargazers:14657Issues:137Issues:2091

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Language:Jupyter NotebookStargazers:13112Issues:300Issues:830

stanza

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

Language:PythonLicense:NOASSERTIONStargazers:7185Issues:141Issues:887

apprtc

appr.tc has been shutdown. Please use the Dockerfile to run your own test/dev instance.

Language:JavaScriptLicense:BSD-3-ClauseStargazers:4148Issues:244Issues:459

SimCSE

[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

Language:PythonLicense:MITStargazers:3341Issues:27Issues:266

fast-transformers

Pytorch library for fast transformer implementations

webRTC.io

An abstraction layer for webRTC. Aim is to simplify the HTML5 web standard webRTC in a similar manner to socket.io w/ websockets. Highly experimental technology

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

beir

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

Language:PythonLicense:Apache-2.0Stargazers:1527Issues:23Issues:136

sparse_attention

Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

opencv-processing

OpenCV for Processing. A creative coding computer vision library based on the official OpenCV Java API

Language:JavaLicense:NOASSERTIONStargazers:1331Issues:118Issues:107

DiskANN

Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search

Language:C++License:NOASSERTIONStargazers:1008Issues:25Issues:190

DataAug4NLP

Collection of papers and resources for data augmentation for NLP.

pytorch_block_sparse

Fast Block Sparse Matrices for Pytorch

Language:C++License:NOASSERTIONStargazers:545Issues:62Issues:15

Text-Attention-Heatmap-Visualization

Plot the vector graph of attention based text visualisation

MuTual

A Dataset for Multi-Turn Dialogue Reasoning

pytrec_eval

pytrec_eval is an Information Retrieval evaluation tool for Python, based on the popular trec_eval.

Language:C++License:MITStargazers:277Issues:9Issues:39

sputnik

A library of GPU kernels for sparse matrix operations.

Language:C++License:Apache-2.0Stargazers:239Issues:10Issues:8

multihop_dense_retrieval

Multi-hop dense retrieval for question answering

Language:PythonLicense:NOASSERTIONStargazers:211Issues:11Issues:21

numnet_plus

This is the official code repository for NumNet+(https://leaderboard.allenai.org/drop/submission/blu418v76glsbnh1qvd0)

torch-blocksparse

Block-sparse primitives for PyTorch

Language:PythonLicense:MITStargazers:145Issues:2Issues:23

Annotated-WikiExtractor

Simple Wikipedia plain text extractor with article link annotations and Hadoop support.

Language:PythonLicense:GPL-3.0Stargazers:105Issues:7Issues:0

rotten-tomatoes-dataset

Scraping Rotten Tomatoes then Sentiment Analysis with Logit Written Manually

merge-spmm

Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018

Language:C++License:Apache-2.0Stargazers:68Issues:29Issues:10

cutlass_tilesparse

CUDA templates for tile-sparse matrix multiplication based on CUTLASS.

Language:C++License:BSD-3-ClauseStargazers:46Issues:3Issues:0

meet-api

this is an unofficial google meet-api that takes oath2 credentials as input and according to your time and date (that is provided by the user) gives you the meeting links.

DL-Hard

Deep Learning Hard (DL-HARD) is a new annotated dataset extending TREC Deep Learning benchmark.

Anchors

Source code of CIKM2021 Paper 'Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need'