Popular GitHub Repositories for Fortran Modules

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

A library of extension and helper modules for Python's data analysis and machine learning libraries.

??? 专注于YOLO11，YOLOv8、TYOLOv12、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules?

OpenDAN is an open source Personal AI OS , which consolidates various AI modules in one place for your personal use.

Awesome List of Attention Modules and Plug&Play Modules in Computer Vision

list of efficient attention modules

Jcseg is a light weight NLP framework developed with Java. Provide CJK and English segmentation based on MMSEG algorithm, With also keywords extraction, key sentence extraction, summary extraction implemented based on TEXTRANK algorithm. Jcseg had a build-in http server and search modules for lucene,solr,elasticsearch,opensearch

Library for specialized dense and sparse matrix operations, and deep learning primitives.

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

jsontt ? - AI JSON Translator with GPT + other FREE translation modules to translate your json/yaml files into other languages ? Check Readme ? Supports GPT / DeepL / Google / Bing / Libre / Argos

Uses ChatGPT API, Bard API, and Llama2, Python-Nmap, DNS Recon, PCAP and JWT recon modules and uses the GPT3 model to create vulnerability reports based on Nmap scan data, and DNS scan information. It can also perform subdomain enumeration to a great extent

A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.

Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

A parallel framework for deep learning

Ansible Collection to manage OPNSense firewalls using their API

一个用于通过 OPNSense API 管理 OPNSense 防火墙的 Ansible 集合

Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera