Armur-Ai / Pentest-Swarm-AI
Autonomous penetration testing using a swarm of AI agents. Orchestrates recon, classification, exploitation, and reporting specialists with ReAct reasoning — supports bug bounty, continuous monitoring, and CTF modes. Built with Go and 7+ native security tools.
ultralytics / ultralytics
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
ultralytics / yolov5
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
roboflow / supervision
We write your reusable computer vision tools. 💜
huggingface / pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
explosion / spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
NandhaKishorM / laya
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
HumanSignal / label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
lucidrains / vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
serengil / deepface
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
firecrawl / pdf-inspector
Fast Rust library for PDF inspection, classification, and text extraction. Intelligently detects scanned vs text-based PDFs to enable smart routing decisions.
lightgbm-org / LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
google / magika
Fast and accurate AI powered file content types detection
cvat-ai / cvat
CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
wkentaro / labelme
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
mlfoundations / open_clip
An open source implementation of CLIP.
voxel51 / fiftyone
Refine high-quality datasets and visual AI models
CVHub520 / X-AnyLabeling
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
satellite-image-deep-learning / techniques
Techniques for deep learning with satellite & aerial imagery
sktime / sktime
A unified framework for machine learning with time series
roboflow / notebooks
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
catboost / catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
haifengl / smile
Statistical Machine Intelligence & Learning Engine
PaddlePaddle / PaddleX
All-in-One Development Tool based on PaddlePaddle
tyiannak / pyAudioAnalysis
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
PaddlePaddle / PaddleClas
A treasure chest for visual classification and recognition powered by PaddlePaddle
biolab / orange3
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
microsoft / FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
JohnSnowLabs / spark-nlp
State of the Art Natural Language Processing
embeddings-benchmark / mteb
MTEB: State-of-the-art evaluation of embeddings across languages and modalities
rguo12 / awesome-causality-algorithms
An index of algorithms for learning causality with data
tslearn-team / tslearn
The machine learning toolkit for time series analysis in Python
weslynn / AlphaTree-graphic-deep-neural-network
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱
x4nth055 / pythoncode-tutorials
The Python Code Tutorials
autodistill / autodistill
Images to inference with no labeling (use foundation models to train supervised models).
NeverSinkDev / NeverSink-Filter
This is a lootfilter for the game "Path of Exile". It hides low value items, uses a markup-scheme and sounds to highlight expensive gear and is based on economy data mining.
jolibrain / deepdetect
Deep Learning Server and CLI for Torch and TensorRT
roboflow / inference
Turn any computer or edge device into a command center for your computer vision projects.
milvus-io / bootcamp
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
ailia-ai / ailia-models
The collection of pre-trained, state-of-the-art AI models for ailia SDK
ufoym / imbalanced-dataset-sampler
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
AIStream-Peelout / flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
emgucv / emgucv
Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library.
RubixML / ML
A high-level machine learning and deep learning library for the PHP language.
WenjieDu / PyPOTS
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values
JuliaAI / MLJ.jl
A Julia machine learning framework
johannfaouzi / pyts
A Python package for time series classification
ScottfreeLLC / AlphaPy
Python AutoML for Trading Systems and Sports Betting
mlr-org / mlr
Machine Learning in R
yoshitomo-matsubara / torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
csinva / imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
scikit-learn-contrib / MAPIE
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
sepandhaghighi / pycm
Multi-class confusion matrix library in Python
sb-ai-lab / LightAutoML
Fast and customizable framework for automatic ML model creation (AutoML)
FeiYull / TensorRT-Alpha
🔥🔥🔥TensorRT for YOLO26 (det/pose/seg/depth/obb/cls), YOLOv11,YOLOv10 YOLOv9,YOLOv8, ... 🚀🚀🚀 CUDA IS ALL YOU NEED. 🍎🍎🍎
aeon-toolkit / aeon
A toolkit for time series machine learning and deep learning
explosion / spacy-llm
🦙 Integrating LLMs into structured NLP pipelines
xtreme1-io / xtreme1
Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.
ollaya-dev / ollaya
Run open decision models locally: pull and serve Laya, decider, NLI and GLiClass behind a TypeSafe-compatible API. Ollama for decision models.
open-edge-platform / geti
Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).