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Make websites accessible for AI agents
How to Think Like a Computer Scientist, Interactive Edition
🧮 Um caminho para a educação autodidata em Matemática!
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
fcakyon / labelme2coco
Forked from XCRobert/Labelme2CocoA lightweight package for converting your labelme annotations into COCO object detection format.
Frontier Multimodal Foundation Models for Image and Video Understanding
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
🔥 Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos
Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! 🦥
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Tradução do livro Pense em Python (2ª ed.), de Allen B. Downey
Your new Mentor for Data Science E-Learning.
Code samples for my book "Neural Networks and Deep Learning"
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Codebase for Aria - an Open Multimodal Native MoE
Fast and memory-efficient exact attention
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Official inference library for Mistral models
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
✨✨Latest Advances on Multimodal Large Language Models