cuCIM - RAPIDS GPU-accelerated image processing library
GitHub repository with 462 stars and 82 forks.
Language: Jupyter Notebook
Topics: image-processing, computer-vision, medical-imaging, microscopy, digital-pathology, cuda, gpu, nvidia, image-analysis, image-data
2026-06-05: 462 stars and 82 forks.
Open source Python library for building bioimage analysis pipelines
GitHub repository with 201 stars and 41 forks.
Trending score: 0.22; stars gained: +0; forks gained: +0.
Language: Jupyter Notebook
Topics: computer-vision, deep-learning, biomedical-image-processing, segmentation, convolutional-neural-networks, image-segmentation
A curated collection of AI, data engineering, and DevOps projects featuring real-world applications, advanced techniques, and tutorials—ideal for learners and practitioners exploring data science and machine learning.
GitHub repository with 313 stars and 45 forks.
Trending score: 0.04; stars gained: -1; forks gained: +0.
Language: Jupyter Notebook
Topics: ai-project, cloud-computing, data-engineering, data-science, deep-learning, devops
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
GitHub repository with 9,113 stars and 584 forks.
Trending score: 2.37; stars gained: +326; forks gained: +20.
Language: Jupyter Notebook
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
GitHub repository with 16,981 stars and 4,249 forks.
Trending score: 1.87; stars gained: +8; forks gained: +6.
Language: Jupyter Notebook
Topics: generative-ai, llm, vertex-ai, langchain, gemini, gemini-api
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
GitHub repository with 5,606 stars and 1,014 forks.
Trending score: 1.87; stars gained: +93; forks gained: +13.
Language: Jupyter Notebook
GitHub repository with 2,681 stars and 331 forks.
Trending score: 1.82; stars gained: +48; forks gained: +12.
Language: Jupyter Notebook
Build LLM agents and multi-agent systems from scratch, with MCP, Skills, and A2A
GitHub repository with 125 stars and 44 forks.
Trending score: 1.70; stars gained: +32; forks gained: +14.
Language: Jupyter Notebook
Examples and guides for using the OpenAI API
GitHub repository with 73,984 stars and 12,523 forks.
Trending score: 1.57; stars gained: +24; forks gained: +12.
Language: Jupyter Notebook
Topics: openai, chatgpt, gpt-4, openai-api
CLI and Python library to strip visible and invisible AI watermarks and provenance metadata (SynthID, C2PA, EXIF/XMP "Made with AI", Gemini sparkle) from AI-generated images
GitHub repository with 2,918 stars and 251 forks.
Trending score: 2.80; stars gained: +28; forks gained: +1.
Language: Python
Topics: ai, cli, computer-vision, diffusion-models, image-processing, metadata
We write your reusable computer vision tools. đź’ś
GitHub repository with 40,000 stars and 3,608 forks.
Trending score: 2.06; stars gained: +153; forks gained: +23.
Language: Python
Topics: computer-vision, image-processing, python, yolo, instance-segmentation, object-detection
Open Source Computer Vision Library
GitHub repository with 87,783 stars and 56,574 forks.
Trending score: 1.79; stars gained: +46; forks gained: +0.
Language: C++
Topics: c-plus-plus, computer-vision, deep-learning, image-processing, opencv
A beautiful, non-destructive, and GPU-accelerated RAW image editor built with performance in mind.
GitHub repository with 7,955 stars and 357 forks.
Trending score: 1.49; stars gained: +36; forks gained: +1.
Language: TypeScript
Topics: color-grading, editing, image-processing, masks, raw, react
A free portable photo editor focused on pro-grade features, high performance, and maximum usability.
GitHub repository with 2,215 stars and 245 forks.
Trending score: 0.72; stars gained: +2; forks gained: +0.
Language: Visual Basic 6.0
Topics: photo-editor, image-processing, image-filters, win32, vb6, computer-vision
Generates 3D from 2D videos in multiple output formats using AI-powered depth mapping.
GitHub repository with 253 stars and 22 forks.
Trending score: 0.70; stars gained: +3; forks gained: +1.
Language: Python
Topics: 2d-3d, 3d-conversion, 3d-rendering, 3d-video, computer-vision, cuda