MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
GitHub repository with 285 stars and 49 forks.
Language: Jupyter Notebook
Topics: cameratraps, machine-learning, computer-vision, conservation, wildlife, megadetector, camera-traps, ecology, cameratrap
Trending score 0.42, freshness score 1.00, stars gained +0, forks gained +0.
2026-06-15: 285 stars and 49 forks.
MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
GitHub repository with 285 stars and 49 forks.
Trending score: 0.42; stars gained: +0; forks gained: +0.
Language: Jupyter Notebook
Topics: cameratraps, machine-learning, computer-vision, conservation, wildlife, megadetector
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.
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A simple MPC controller for path tracking implemented in python
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Reference PyTorch implementation and models for DINOv3
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Implement a reasoning LLM in PyTorch from scratch, step by step
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Trending score: 2.79; stars gained: +24; forks gained: +1.
Language: Jupyter Notebook
Topics: ai, artificial-intelligence, deep-learning, large-language-models, llms, machine-learning
Examples and guides for using the OpenAI API
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Trending score: 2.74; stars gained: +17; forks gained: +5.
Language: Jupyter Notebook
Topics: chatgpt, gpt-4, openai, openai-api
Optimize prompts, code, and more with AI-powered Reflective Text Evolution
GitHub repository with 5,154 stars and 431 forks.
Trending score: 2.72; stars gained: +18; forks gained: +6.
Language: Jupyter Notebook
MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
GitHub repository with 285 stars and 49 forks.
Trending score: 0.42; stars gained: +0; forks gained: +0.
Language: Jupyter Notebook
Topics: cameratraps, machine-learning, computer-vision, conservation, wildlife, megadetector