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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
OpenMMLab Detection Toolbox and Benchmark
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Image augmentation for machine learning experiments.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Statsmodels: statistical modeling and econometrics in Python
Geometric Computer Vision Library for Spatial AI
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
A PyTorch implementation of the Transformer model in "Attention is All You Need".
A PyTorch implementation of EfficientNet
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
A unified framework for machine learning with time series
A faster pytorch implementation of faster r-cnn
Distributed Asynchronous Hyperparameter Optimization in Python
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models