Showing 281-300 of 848 projects
A PyTorch implementation of a fast and accurate 3D face alignment model for computer vision applications.
OpenMMLab's model deployment framework for optimizing and deploying computer vision models across various backends.
A comprehensive interview prep resource for AIGC, LLM, and AI-related engineering roles.
A comprehensive AI-powered computer vision library for face detection, tracking, recognition, and more.
A multi-task multi-sensor fusion library for bird's-eye view perception in 3D computer vision applications.
A computer vision-assisted tool to extract numerical data from plot images for data visualization and analysis.
Fast and efficient library for computer vision and other machine learning workloads, built on PyTorch.
OpenVSLAM is a versatile visual SLAM framework for computer vision and robotics applications.
A Python library for evaluating the performance of neural networks for object detection.
A collection of Python tutorials covering a wide range of topics from computer vision to network security.
FoundationPose is a unified 6D pose estimation and tracking framework for novel objects, useful for computer vision applications.
A collection of 100 deep learning examples for computer vision, NLP, and other AI/ML tasks using TensorFlow and PyTorch.
A universal feed-forward metric 3D reconstruction library for computer vision and robotics applications.
Chunkr is a Rust-based vision infrastructure for turning complex documents into RAG/LLM-ready data.
Deprecated Android Vision API project, now part of ML Kit.
A comprehensive multimodal system for long-term streaming video and audio interactions using large language models.
A Python library focused on improving YOLO models for object detection and computer vision tasks.
An automatic model compression framework for developing smaller and faster AI applications.
A curated list of the latest AI research papers from 2021 with explanations and code samples
This GitHub repository contains projects for the Udacity Self-Driving Car Engineer Nanodegree, focusing on computer vision, deep learning, and autonomous vehicle technology.
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