PyTorchCV
A PyTorch-Based Framework for Deep Learning in Computer Vision.
A PyTorch-Based Framework for Deep Learning in Computer Vision.
Generative AI Image Toolset with GANs and Diffusion for Real-World Applications.
Train and run a computer vision model with 5-10 lines of code.
A PyTorch implementation of DeepDream.
A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs).
A PyTorch implementation of DeepDream. Allows individuals to quickly and easily train their own custom GoogleNet models with custom datasets for DeepDream.
Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.
Lightly is a computer vision framework for self-supervised learning.
Energy-based machine learning models built upon PyTorch.
Light face detection and recognition system with huge possibilities, based on Microsoft Face API and TensorFlow made for small IoT devices like raspberry pi.
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.
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.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more.
MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.
A better version of Jieba, developed by Peking University.
A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.
A python framework to transform natural language questions to queries in a database query language.
A sentence aligner, a friendly tool for extracting parallel sentences from comparable corpora. [Deprecated]
A library for processing Chinese text.
A library for email Spam filtering built on top of NLTK
Another Chinese segmentation library. [Deprecated]
A Chinese segment based on Conditional Random Field.
Natural language Understanding Toolkit. [Deprecated]
Text processing tools and wrappers (e.g. Vowpal Wabbit)
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.
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 binding to ucto (a unicode-aware rule-based tokenizer for various languages).
Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER)
Python bindings for ZPar, a statistical part-of-speech-tagger, constituency parser, and dependency parser for English.
Python interface for converting Penn Treebank trees to Stanford Dependencies.
Levenshtein and Hamming distance computation. [Deprecated]
Fuzzy String Matching in Python.
Blazing fast, lightweight and customizable fuzzy and semantic text search in Python with fuzzywuzzy/thefuzz compatible API.
a python library for doing approximate and phonetic matching of strings.
higher-level NLP built on Spacy.