GitHub projects

An MCP server for fetching verifiable random numbers from the drand network.

A code observability MCP enabling dynamic code analysis based on OTEL/APM data to assist in code reviews, issues identification and fix, highlighting risky code etc.

Easy web data access. Simplified retrieval of information from websites and online sources.

Navigate your OpenTelemetry resources, investigate incidents and query metrics, logs and traces on Dash0.

Context7 MCP - Up-to-date Docs For Any Cursor Prompt

Python-based MCP tool providing a comprehensive set of functions for managing contacts, phonebooks, agents, teams, campaigns, and other CallHub resources.

Enable AI agents to interact with the Atla API for state-of-the-art LLMJ evaluation.

AI-powered SVG animation generator that transforms static files into animated SVG components using the Allyson platform

ALAPI MCP Tools,Call hundreds of API interfaces via MCP

Simpler Project Management - send Agile Luminary stories straight to your IDE

Production-Ready LLM Agent SDK for Every Developer

A curated list of awesome vector search framework/engine, library, cloud service and research papers to vector similarity search.

A curated list of awesome MLOps tools.

A list of awesome compiler projects and papers for tensor computation and deep learning.

This is the Fuzzy Labs guide to the universe of free and open source MLOps tools.

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

A curated list of federated learning publications, re-organized from Arxiv (mostly)

Curating a list of AutoML-related research, tools, projects and other resources

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

A curated list of awesome projects and resources related to Argo

A framework for implementing federated learning

Harmonia is an open-source project aiming at developing systems/infrastructures and libraries to ease the adoption of federated learning (abbreviated to FL) for researches and production usage.

A Friendly Federated Learning Framework

The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation.

An Industrial Grade Federated Learning Framework

An Easy-to-use Federated Learning Platform

Automated optimization engine for improving agent workflows using feedback-driven iterative refinements.

Google TPU optimizations for transformers models

A uniform deep learning inference framework for mobile, desktop and server.

A suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.

use AutoML to do model compression.

ncnn is a high-performance neural network inference framework optimized for the mobile platform.

Context runtime and MCP server that reduces AI coding agent token costs via session caching, AST-aware compression, and shell output patterns. Website

A library for high performance deep learning inference on NVIDIA GPUs.

FeatherCNN is a high performance inference engine for convolutional neural networks.

Information-theoretic context optimization proxy. Cuts LLM token costs by 70–95% with zero accuracy loss using greedy submodular knapsack maximization.

an AutoML algorithm tool chain by Huawei Noah's Arb Lab.

A Meta-Learning library for PyTorch.

Sequential model-based optimization with a scipy.optimize interface.

a Robust Bayesian Optimization framework.

Bayesian optimization in high-dimensions via random embedding.

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

a proof-of-concept OpenAI Gym environment for Neural Architecture Search (NAS).

a framework that implements AutoML algorithms for model architecture search at scale.

a global, black box optimization engine for real world metric optimization by Yelp.

a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

PyTorch Meta-learning Framework for Researchers.

Katib is a Kubernetes-native project for automated machine learning (AutoML).