Popular GitHub Repositories for Elm Architecture

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

AutoML library for deep learning

Claude-Flow v2.0.0 Alpha represents a revolutionary leap in AI-powered development orchestration. Built from the ground up with enterprise-grade architecture, advanced swarm intelligence, and seamless Claude Code integration.

An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

Reliable LLM Memory for AI Applications and AI Agents

A Collection of Variational Autoencoders (VAE) in PyTorch.

Venom is a high-performance system developed with JavaScript to create a bot for WhatsApp, support for creating any interaction, such as customer service, media sending, sentence recognition based on artificial intelligence and all types of design architecture for WhatsApp.

Publication-ready NN-architecture schematics.

Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.

Tools to Design or Visualize Architecture of Neural Network

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

《Machine Learning Systems: Design and Implementation》- Chinese Version

A curated list of automated machine learning papers, articles, tutorials, slides and projects

StarVector is a foundation model for SVG generation that transforms vectorization into a code generation task. Using a vision-language modeling architecture, StarVector processes both visual and textual inputs to produce high-quality SVG code with remarkable precision.

oneAPI Deep Neural Network Library (oneDNN)

The leading workflow orchestration platform. Run stateful step functions and AI workflows on serverless, servers, or the edge.

A best practice for tensorflow project template architecture.

Fast and flexible AutoML with learning guarantees.

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.