Stars
👾 Fast and simple video download library and CLI tool written in Go
Macroeconomic modeling package for Python
Convert Machine Learning Code Between Frameworks
Cython implementations of Gibbs sampling for supervised LDA
semi supervised guided topic model with custom guidedLDA
Implement of L-LDA Model(Labeled Latent Dirichlet Allocation Model) with python
Financial Sentiment Analysis with BERT
A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097
State-of-the-Art Text Embeddings
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Python Backtesting library for trading strategies
TuShare is a utility for crawling historical data of China stocks
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…
Analysis & visualization of energy & climate scenarios
Various Algorithms for Short Text Mining
Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx
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 (Bianchi et al.).
Top2Vec learns jointly embedded topic, document and word vectors.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
we want to create a repo to illustrate usage of transformers in chinese
Fast, multithreading, efficient and easy-to-use mail bombing/spamming tool. Sending mails via mailman services hosted by different providers.