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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, Mistral, Phi-4, Qwen 2.5 & Gemma LLMs 2-5x 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
Get up and running with Llama 3.3, Phi 4, Gemma 2, and other large language models.
A collection of examples that show how to use CrewAI framework to automate workflows.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small langua…
Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…