tmacmilan's repositories
causal-learn
Causal Discovery for Python. Translation and extension of the Tetrad Java code.
causalml
Uplift modeling and causal inference with machine learning algorithms
weibo-public-opinion-datasets
Continuously updated Sina Weibo Public Opinion Datasets / 持续维护的微博舆情数据集
google-research
Google Research
PARTNER
Repository containing code for the WWW 2021 paper on empathic rewriting
openalex-api-tutorials
A collection of Jupyter notebooks, each walking you through a common example of bibliometric analysis using scholarly data from the OpenAlex API.
thresholdbook
《跨越网络的门槛》
sent2vec
General purpose unsupervised sentence representations
BLM-emotions
Official code and data of the paper "An Analysis of Emotions and the Prominence of Positivity in #BlackLivesMatter Tweets"
botometer-python
A Python API for Botometer by OSoMe
Senta
Baidu's open-source Sentiment Analysis System.
CREST
A Causal Relation Schema for Text
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.
EmTract
Package for extracting emotions from social media text. Tailored for financial data.
RGSE
Robust Graph Structure Embedding for Anomalous Link Detection
ML2022-Spring
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
fastai
The fastai deep learning library
text-classification-surveys
文本分类资源汇总，包括深度学习文本分类模型，如SpanBERT、ALBERT、RoBerta、Xlnet、MT-DNN、BERT、TextGCN、MGAN、TextCapsule、SGNN、SGM、LEAM、ULMFiT、DGCNN、ELMo、RAM、DeepMoji
WantWords
An open-source online reverse dictionary.
graph4nlp
Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!
PCdemo
A demo of PC algorithm in causal discovery
BioSentVec
BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
Awesome-GNN-Research
My future research
PGL
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
Neural_Topic_Models
Implementation of topic models based on neural network approaches.
RDEA
Source code for SIGIR 2021 paper "Rumor Detection on Social Media with Event Augmentations"