Showing 61-80 of 326 projects
RF-DETR is a SOTA real-time object detection and segmentation model architecture designed for fine-tuning.
This project makes the Segment Anything Model (SAM) lightweight for mobile applications and beyond.
An open-source anomaly detection library with state-of-the-art algorithms and features like experiment management and edge inference.
PointNet is a deep learning model for 3D classification and segmentation on point cloud data.
Tools to design or visualize the architecture of neural networks
A high-performance real-time instance segmentation library for computer vision applications.
SponsorBlock client for all YouTube TV clients, allowing users to skip sponsored segments.
A browser extension to skip sponsored segments in videos, ported from the SponsorBlock project.
Segmentation models with pretrained backbones for image processing and computer vision tasks.
A Jupyter Notebook implementation of the U-Net convolutional neural network for image segmentation tasks.
Official implementation of a paper on segmentation models for computer vision tasks.
PyTorch implementation of PointNet and PointNet++ for 3D point cloud classification and segmentation.
An open-source toolbox for text detection, recognition, and understanding tasks powered by PyTorch.
Open-source data pipeline engine for real-time ETL, connecting data sources to warehouses like BigQuery, Snowflake, Redshift.
An open-source autonomous driving framework that focuses on planning-oriented autonomous driving.
A lite C++ AI toolkit with 100+ models for computer vision tasks like detection, segmentation, and image generation.
Rudder Server is a privacy-focused, Segment-alternative customer data platform written in Go and React.
An open-source, camera-only framework for autonomous driving perception tasks like 3D object detection and semantic map segmentation.
A curated list of awesome data labeling tools for developers working with AI and computer vision.
A collection of loss functions for medical image segmentation in Python.
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