Showing 1-20 of 130 projects
YOLO models for computer vision tasks
Reusable computer vision tools for developers
Object detection toolbox for PyTorch with support for multiple tasks and state-of-the-art models.
Mask R-CNN for object detection and instance segmentation using Keras and TensorFlow
Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.
A Python library for image polygonal annotation with support for various shapes and flags.
PaddleDetection is an open-source object detection toolkit based on the PaddlePaddle deep learning framework, supporting various computer vision tasks.
A command-line tool for tweaking the WeChat macOS client, including features like revoke interception and multi-instance support.
A PHP library for creating instances of classes without invoking their constructors.
Easily run, manage, and scale AI workloads on any infrastructure using a unified platform.
A fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Self-hosted instance of Sentry, a popular error tracking and performance monitoring tool, packaged for easy deployment.
Official Nextcloud installation method for easy deployment and maintenance
Multipass is a tool that orchestrates virtual Ubuntu instances for developers across different platforms.
Testcontainers is a Java library for integration testing with lightweight Docker container instances.
Effortless data labeling with AI support from Segment Anything and other powerful models.
A tool for building resilient cloud-based applications by randomly failing instances to test for failure tolerance.
A JavaScript-based tool to create multiple variations of artworks using provided layer assets.
A Python utility for creating and managing EC2 instances to load test web applications.
RF-DETR is a SOTA real-time object detection and segmentation model architecture designed for fine-tuning.
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