Stars
A latent text-to-image diffusion model
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
The fastai book, published as Jupyter Notebooks
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
StableLM: Stability AI Language Models
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
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 RF-DETR, YOLO11, SAM …
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Deploy serverless AI workflows at scale. Firebase for AI agents
COCO API - Dataset @ http://cocodataset.org/
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
A Bulletproof Way to Generate Structured JSON from Language Models
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
Tutorials for creating and using ONNX models
Debugging, monitoring and visualization for Python Machine Learning and Data Science
📚 Jupyter notebook tutorials for OpenVINO™
Keras documentation, hosted live at keras.io
MTCNN face detection implementation for TensorFlow, as a PIP package.
Scenarios, tutorials and demos for Autonomous Driving
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
AI magics meet Infinite draw board.
Pytorch0.4.1 codes for InsightFace