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1790-ai-patent-data

absa-pytorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

aioe

asap

ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction

automatic-personality-prediction

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

awesome-cantonese-nlp

A curated list of resources dedicated to Natural Language Processing (NLP) of Cantonese | 粵語 NLP 資源

awesome-english-ebooks

经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新

awesome-g0v-projects

令人驚奇的零時政府。找專案，找提案，找共筆，找幫手 一站搞定

awesome-topic-models

✨ Awesome - A curated list of amazing Topic Models (implementations, libraries, and resources)

bertopic

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

biglaw

開放法律判決智慧檢索與分析應用

blocksci

A high-performance tool for blockchain science and exploration

bulk-downloader-for-reddit

Downloads and archives content from reddit

bypass-paywalls-chrome

Bypass Paywalls web browser extension for Chrome and Firefox.

cantoseg

Cantonese segmentation tool 粵語分詞工具

causalinference

《基本有用的计量经济学》（MUSE）

ccars-jobpostings

This is a repository to post issues, announcements, feature requests and other information related to CCARS Job Postings datasets

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

clone-voice

A sound cloning tool with a web interface, using your voice or any sound to record audio / 一个带web界面的声音克隆工具，使用你的音色或任意声音来录制音频

cnn_trust_prediction

This project predicts trustworthiness and other social perceptions from human face images using deep convolutional networks. It is my final (capstone) project of the neuefische Data Science Bootcamp.

cntext

cntext is a text analysis package that provides semantic distance and semantic projection based on word embedding models. Besides,cntext also provides the traditional methods, such as word count , readability, document similarity, sentiment analysis, etc.

contextualized-topic-models

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.

corex_topic

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

data

Stata Commands and Datasets for Courses and Workshops

data-police-shootings

The Washington Post is compiling a database of every fatal shooting in the United States by a police officer in the line of duty since 2015.

deepmatcher

Python package for performing Entity and Text Matching using Deep Learning.

deeppersonality

Banchmark for personality traits prediction with neural networks

did_handbook

This repository summarizes the traditional and recently proposed estimators for the difference-in-differences specifications.

dork-admin

盘点近年来的数据泄露、供应链污染事件

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.