GitHub projects

A "machine learning framework to automate text-and voice-based conversations."

The Classical Language Toolkit.

Python wrapper for Stanford CoreNLP [Deprecated]

higher-level NLP built on Spacy.

a python library for doing approximate and phonetic matching of strings.

Blazing fast, lightweight and customizable fuzzy and semantic text search in Python with fuzzywuzzy/thefuzz compatible API.

Fuzzy String Matching in Python.

Levenshtein and Hamming distance computation. [Deprecated]

Python interface for converting Penn Treebank trees to Stanford Dependencies.

Python bindings for ZPar, a statistical part-of-speech-tagger, constituency parser, and dependency parser for English.

Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER)

Python binding to ucto (a unicode-aware rule-based tokenizer for various languages).

Python package that implements a novel white-box machine learning model for text classification, called SS3. Since SS3 has the ability to visually explain its rationale, this package also comes with easy-to-use interactive visualizations tools (online demos).

Python Natural Language Processing Library. General purpose NLP library for Python. Also contains some specific modules for parsing common NLP formats, most notably for FoLiA, but also ARPA language models, Moses phrasetables, GIZA++ alignments.

Text processing tools and wrappers (e.g. Vowpal Wabbit)

Natural language Understanding Toolkit. [Deprecated]

A Chinese segment based on Conditional Random Field.

Another Chinese segmentation library. [Deprecated]

A library for email Spam filtering built on top of NLTK

A library for processing Chinese text.

A sentence aligner, a friendly tool for extracting parallel sentences from comparable corpora. [Deprecated]

A python framework to transform natural language questions to queries in a database query language.

A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.

A better version of Jieba, developed by Peking University.

MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more.

as known as L0CV, is a new generation of computer vision open source online learning media, a cross-platform interactive learning framework integrating graphics, source code and HTML. the L0CV ecosystem — Notebook, Datasets, Source Code, and from Diving-in to Advanced — as well as the L0CV Hub.

face recognition system that can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for face recognition, face verification, face detection, face mask detection, landmark detection, age, and gender recognition and is easily deployed with docker.

Light face detection and recognition system with huge possibilities, based on Microsoft Face API and TensorFlow made for small IoT devices like raspberry pi.

Energy-based machine learning models built upon PyTorch.

Lightly is a computer vision framework for self-supervised learning.

Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.

A PyTorch implementation of DeepDream. Allows individuals to quickly and easily train their own custom GoogleNet models with custom datasets for DeepDream.

TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs).

A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

A PyTorch implementation of DeepDream.

Train and run a computer vision model with 5-10 lines of code.

Generative AI Image Toolset with GANs and Diffusion for Real-World Applications.

A PyTorch-Based Framework for Deep Learning in Computer Vision.

A library containing Convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

Python-tesseract is an optical character recognition (OCR) tool for python. That is, it will recognize and "read" the text embedded in images. Python-tesseract is a wrapper for Google's Tesseract-OCR Engine.

FAIR's next-generation research platform for object detection and segmentation. It is a ground-up rewrite of the previous version, Detectron, and is powered by the PyTorch deep learning framework.

FAIR's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework. [Deprecated]

Easy to install and use deep learning Faster R-CNN face detection for images and video in a docker container. [Deprecated]

deep learning based cutting-edge facial detector for Python coming with facial landmarks

A lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for Python covering cutting-edge models such as VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, Dlib and ArcFace.

Face recognition library that recognizes and manipulates faces from Python or from the command line.

Open source Python module for computer vision. [Deprecated]