The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.

An MIT License of YOLOv9, YOLOv7, YOLO-RD

tiny vision language model

Vision agent

Unlock your displays on your Mac! Flexible HiDPI scaling, XDR/HDR extra brightness, virtual screens, DDC control, extra dimming, PIP/streaming, EDID override and lots more!

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.

🦜🔗 Build context-aware reasoning applications

🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

FaceAPI: AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Easily train a good VC model with voice data <= 10 mins!

The world's simplest facial recognition api for Python and the command line

Automagic fan control for the Nvidia Jetson Nano

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Kubernetes Native Edge Computing Framework (project under CNCF)

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

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.

Fourth iteration of my personal website built with Gatsby