Popular GitHub Repositories for Architecture Decision Records

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

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

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.

Reliable LLM Memory for AI Applications and AI Agents

AutoML library for deep learning

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

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.

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

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.

⚙️ All-in-One menu bar app, hide ?MacBook Pro's notch, dark mode, AirPods, Shortcuts

Tools to Design or Visualize Architecture of Neural Network

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

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

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

RF-DETR is a real-time object detection model architecture developed by Roboflow, released under the Apache 2.0 license.

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

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