State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
John Snow Labs Spark NLP is a natural language processing library built on top of Apache Spark ML. It provides simple, performant & accurate NLP annotations for machine learning pipelines, that scale easily in a distributed environment.
Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
An efficient library for image augmentation, providing extensive transformations to support machine learning and computer vision tasks.
A set of easy-to-use utils that will come in handy in any Computer Vision project
QUick and DIrty Domain Adaptation
Image augmentation library for deep neural networks
A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation.
A toolkit for making real world machine learning and data analysis applications
Light Weight Toolkit for Bounding Boxes
Packaged version of the Yolov5 object detector
Client library to use the IBM Watson Services
Ultralytics HUB Client SDK.
Easily turn a set of image urls to an image dataset
Catalyst. Accelerated deep learning R&D with PyTorch.
With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.
With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.
With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.
Image Acquisition Library for GenICam-based Machine Vision System
A toolkit for making real world machine learning and data analysis applications
With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference CLI.
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
Pymba is a Python wrapper for Allied Vision's Vimba C API.
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
HuggingFace utilities for Ultralytics/YOLOv8.
Easily computing clip embeddings and building a clip retrieval system with them
This is the module for detecting and classifying text on rama pictures
An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale.
Agnostic Computer Vision Framework
A lightweight Computer Vision library for high-performance AI research - Modern Computer Vision on the Fly.
With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.
TorchSeg: Semantic Segmentation models for PyTorch
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
Find issues in image datasets
Easy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint
:warning: The `yolov8` package is a placeholder, not the official Ultralytics version. Please install the official `ultralytics` package via `pip install ultralytics` instead.
An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application
Defining the Future of 3D Machine Vision
An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.
Packaged version of the Yolov6 repository
Declarative machine learning: End-to-end machine learning pipelines using data-driven configurations.
Python Tools for Visual Dataset Transformation
Training utility library and config manager for Granular Machine Vision research
doc2text drastically improves the extraction of text from images by fixing resolution, text area (crop), and skew.
🔥LIT: The Learning Interpretability Tool
Torchreid-Pip: Deep learning person re-identification in PyTorch.