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Automatically labeling training data

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

Python implementation of the conformal prediction framework.

FRP: Fast Random Projections

Simple structured learning framework for python

HiScore makes creating sophisticated scores easy

Extremely simple one-shot learning in Python

Fast web applications through dynamic, partially-stateful dataflow

High-performance TensorFlow library for quantitative finance.

pyspark methods to enhance developer productivity 📣 👯 🎉

🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Large corpus of uncompressed and compressed sentences from news articles.

A Machine Learning System for Data Enrichment.

DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/

Segtok v2 is here: https://github.com/fnl/syntok -- A rule-based sentence segmenter (splitter) and a word tokenizer using orthographic features.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Sequential model-based optimization with a `scipy.optimize` interface

A Super-Lightweight Annotation Tool for Experts: Label text in a terminal with just Python

This package supports implementation of anchor-based topic modeling and variants of the anchoring algorithm in Python 3.

A collection of important graph embedding, classification and representation learning papers with implementations.

Topic Modeling in Embedding Spaces

Score documents using embedding-vectors dot-product or cosine-similarity with ES Lucene engine

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

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

Library for fast text representation and extreme classification.

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

A high performance and generic framework for distributed DNN training

Centrality Measures for Graph-Based Keyphrase Extraction