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.

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

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

Jupyter Interactive Notebook

A unified framework for 3D content generation.

Tools to train a generative model on arbitrary audio samples

Code for the paper "Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models"

A toolkit for applying LLMs to sensitive, non-public data in offline or restricted environments

Software defined LaserDisc decoder

Open-source device for measuring cardiograpgy signals with a GUI for easier handling and additional software for analyzing the data.

Source code and data analyses for the Sci-Hub Coverage Study

Scientific analysis of nanoscale materials imaging data

Differentiable geometric optics in PyTorch. Design optical systems with optimization.

Structured Data from Ishkur's Guide to Electronic Music. Working Mirror for v2.5 here: https://igorbrigadir.github.io/ishkurs-guide-dataset/

FlyBrainLab tutorial notebooks to get started with FlyBrainLab.

A unique clock made with thermochromic paint

FlyBrainLab Circuit Library for the Central Complex

Using file and Natural Language Toolkit analysis, this project aims to analyze a fraudulent email corpus