saamirr

AI-Scientist

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

DrEureka

Official Repository for "DrEureka: Language Model Guided Sim-To-Real Transfer" (RSS 2024)

chemcrow-public

Chemcrow

bridgy-fed

🌉 A bridge between decentralized social network protocols

StableCascade

Official Code for Stable Cascade

ml-mgie

finx-tracker

Web app to track PnL for options & futures strategies.

AlphaCodium

Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""

artisan

artisan: visual scope for coffee roasters

ml-ferret

imaginAIry

Pythonic AI generation of images and videos

OpenSK

OpenSK is an open-source implementation for security keys written in Rust that supports both FIDO U2F and FIDO2 standards.

DragGAN

Official Code for DragGAN (SIGGRAPH 2023)

shap-e

Generate 3D objects conditioned on text or images

OURS-project

Step-by-step instructions to build a smartphone that is open-source, upgradeable, repairable, and Big Tech free.

react-native-cipherlab-scanner

CipherLab Scanner support for RN!

super-gradients

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

giffusion

Create GIFs and Videos using Stable Diffusion

codon

A high-performance, zero-overhead, extensible Python compiler using LLVM

zxing

ZXing ("Zebra Crossing") barcode scanning library for Java, Android

AutoGPT

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.

segment-anything

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.

muzic

Muzic: Music Understanding and Generation with Artificial Intelligence

musiclm-pytorch

Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch

swift-coreml-diffusers

Swift app demonstrating Core ML Stable Diffusion

WarpFusion

WarpFusion

ControlNet

Let us control diffusion models!

tmu

Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.

eg3d

SingleViewReconstruction

Official Code: 3D Scene Reconstruction from a Single Viewport