Popular GitHub Repositories for Encoder Decoder Architecture

?? - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

A neural network that transforms a design mock-up into a static website.

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

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

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.

Reliable LLM Memory for AI Applications and AI Agents

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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

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.

《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)