The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

We write your reusable computer vision tools. 💜

A 'supervised' parser for Google Scholar

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 the model.

Vision-based Automation Python Module for OS X

Some Python code to make GIFs from graph algos

Scrape GIFs from Giphy using GiphyAPIs

fc-frame-carrousel

Farcaster Frames in less than 100 lines, and ready to be deployed to Vercel.

Forgotten Runes Marketplace

Playing with Google's TensorFlow

3D Object Recognition based on the Correspondence Grouping PCL Algorithm

Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/1512.03385 - MSRA, winner team of the 2015 ILSVRC and COCO challenges).

Pythonic Deep Learning Framework Inspired by Torch's Neural Network package

Load various datasets in Python for computer vision purposes

Make Python Play Diamond Dash Automatically on Mac OS X Thanks to Pytomator

C++ PointCloud Visualizer ( Test PCL on OSX 10.9)

Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning

No description provided.

Open source platform for the machine learning lifecycle

Code samples for my book "Neural Networks and Deep Learning"

MONAI Label is an intelligent open source image labeling and learning tool.

Materials for the 2021 MONAI Bootcamp

Repo for the Land of Lisp book

No description provided.

Instagram grey hat bot

A collection of useful .gitignore templates

fizz buzz in pyfunt

Implementation of Perceptual Losses for Real-Time Style Transfer and Super-Resolution (http://cs.stanford.edu/people/jcjohns/eccv16/) with PyFunt

Machine Learning with Coursera