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YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Get your documents ready for gen AI
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
OpenMMLab Detection Toolbox and Benchmark
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Graph Neural Network Library for PyTorch
🚀 The fast, Pythonic way to build MCP servers and clients
The interactive graphing library for Python ✨
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Statsmodels: statistical modeling and econometrics in Python
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Cross-platform lib for process and system monitoring in Python
🐍 Geometric Computer Vision Library for Spatial AI
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
A unified framework for machine learning with time series
A python library for user-friendly forecasting and anomaly detection on time series.
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)