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AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
This repository provides you with an easy-to-use labeling tool for State-of-the-art Deep Learning training purposes. It supports Auto-Labeling.
The PASS dataset: pretrained models and how to get the data
A curated list of awesome resources for adversarial examples in deep learning
Awesome list of software that I use to do research in medical imaging.
TranslatedAn industrial anomaly detection project based on PatchCore, studying layer2/layer3 score fusion, sensitivity-guided shrinkage, and risk-controlled gating, and providing an engineering-oriented Streamlit demo.
Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark
Personal project: where shoppers look, estimated from an ordinary security camera and open source AI (YOLO11, Gaze-LLE, Depth Anything V2)
PyTorch Connectomics: segmentation toolbox for EM connectomics
Automated Testing for Set-Top Boxes and Smart TVs
A simple, flexible, and extensible template for PyTorch. It's beautiful.
Face detection using deep learning.
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
TensorFlow Lite models for MIRNet for low-light image enhancement.
Lowest barrier of entry to Image Processing, Computer Vision and Neural Networks on the JavaVM
Agent skill: outline, mask and count objects in photos with Meta's SAM 3 on your own NVIDIA GPU, with review, exports and a viewer. Works with Claude Code, Codex, Cursor, Pi and other Agent Skills clients.
How to create a Cartoonizer Android app with TensorFlow Lite models.
A graphical user interface to annotate point clouds and 3D data.
A Tensorfflow implementation of Attend, Infer, Repeat
How to create Selfie2Anime from tflite model to Android.
Implementation of the superpixel algorithm called SEEDS [1].
An Easy To Use PyTorch Computer Vision Library
Pixano Elements - Re-usable web components dedicated to data annotation tasks.
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources