Popular GitHub Repositories for Non Technical

Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

? TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

? AI-powered enterprise search engine ?

HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance

Open-source Visual programming for backend logic that integrates with existing codebases. Flyde bridges the gap between technical and non-technical team members. Product managers, designers, and backend developers can collaborate on the same visual flows.

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain

Master Federated Learning in 2 Hours—Run It on Your PC!

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

An Open Source package that allows video game creators, AI researchers and hobbyists the opportunity to learn complex behaviors for their Non Player Characters or agents

?? Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.

StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis.

Streamlines and simplifies prompt design for both developers and non-technical users with a low code approach.

[ICASSP 2024] ? Matcha-TTS: A fast TTS architecture with conditional flow matching

A Non-Autoregressive Text-to-Speech (NAR-TTS) framework, including official PyTorch implementation of PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022)