Highlights
- Pro
Stars
LightlyTrain is the first PyTorch framework to pretrain computer vision models on unlabeled data for industrial applications
A dynamic and scalable virtual environment for the SCARA robot, designed to support modular extension by adding additional links. To enable the robot to learn inverse kinematics, we implemented the…
Realtime Voice and Vision wtih Brilliant Labs Frame and Gemini
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Fine tune Gemma 3 on an object detection task
Uncomplicated Observability for Python and beyond! 🪵🔥
Agent Framework / shim to use Pydantic with LLMs
Data validation using Python type hints
Generate a comprehensive review from an arXiv paper, then turn it into a blog post. This project powers the website below for the HuggingFace's Daily Papers (https://huggingface.co/papers).
A hello world Javascript plugin for FiftyOne
A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible.
[BETA] The Official Neurosity Python SDK 🤯
streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
Turn any computer or edge device into a command center for your computer vision projects.
Images to inference with no labeling (use foundation models to train supervised models).
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM …
We write your reusable computer vision tools. 💜
Refine high-quality datasets and visual AI models