isr-wang

BERTopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

ChatGPT-Dataset-Reddit

Reddit comments about ChatGPT.

Contrastive-Clustering

Code for the paper "Contrastive Clustering" (AAAI 2021)

Dual-Contrastive-Learning

Code for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation"

Learning-Disentangled-Representations-via-Mutual-Information-Estimation

Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)

LibMTL

A PyTorch Library for Multi-Task Learning

lrec22-d3-dataset

The official repository for the LREC'22 paper "D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research"

Multi-objective-optimization-and-Multi-task-Learning

MultiObjectiveOptimization

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

ncsnv2

The official PyTorch implementation for NCSNv2 (NeurIPS 2020)

NeuralOptimalTransport

PyTorch implementation of "Neural Optimal Transport" (ICLR 2023)

NeuralSinkhornTopicModel

Neural Topic Model via Optimal Transport, ICLR 2021

NQTM

Code for Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder.

OCTIS

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

ot-4-ml-reading-group

Reading Group @mila-iqia on Computational Optimal Transport for Machine Learning Applications

pixyz

A library for developing deep generative models in a more concise, intuitive and extendable way

prompt-engineering-for-developers

吴恩达大模型系列课程中文版，包括《Prompt Engineering》、《Building System》和《LangChain》

pyOMT

A PyTorch implementation of adaptive Monte Carlo Optimal Transport algorithm

Pytorch-PCGrad

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

score_sde

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

snscrape

A social networking service scraper in Python

Tensorflow_Pytorch_Sinkhorn_OT

Tensorflow (1.0 or 2.0) and Pytorch implementations of the Sinkhorn algorithm [1] for computing the optimal transport (OT) distance between two discrete distributions.

TopClus

[WWW 2022] Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations

tweepy

Twitter for Python!

Tweepy_Academic

Search and download tweets from Twitter using Tweepy and Twitter API v.2. The code is for those with an Academic Research Twitter Account, which has a limit of 10 million tweets a month and allows fully archive search back to March 2006.

twint

An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

twitter-reddit-sentiment-pipline

Twitter & Reddit Data Pipeline for ChatGPT Sentiment Analysis

Twitter-Sentiment-Analysis-about-ChatGPT

A quantitative study on over 1.25 million tweets about ChatGPT, employed data scrapping, data cleaning, EDA, topic modeling, and sentiment analysis.

vicreg

VICReg official code base

WassersteinFisherRaoDistance

An optimization method for computing the unbalanced Wasserstein-Fisher-Rao optimal transport distance between two measures on S^2. Includes an application to computing the SRNF shape distance and color tranfer.