microsoft / ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

lutzroeder / netron

Visualizer for neural network, deep learning and machine learning models

ludwig-ai / ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

dotnet / machinelearning

ML.NET is an open source and cross-platform machine learning framework for .NET.

clearml / clearml

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

katanaml / sparrow

Structured data extraction, instruction calling and agentic workflows with ML, LLM and Vision LLM

pollinations / pollinations

Your Friendly Open-Source Gen-AI Platform

webmachinelearning / webmcp

🤖 WebMCP

tslearn-team / tslearn

The machine learning toolkit for time series analysis in Python

Vespa314 / chan.py

开放式的缠论python实现框架，支持形态学/动力学买卖点分析计算，多级别K线联立，区间套策略，可视化绘图，多种数据接入，策略开发，交易系统对接；

fastmachinelearning / hls4ml

Machine learning on FPGAs using HLS

shsarv / Machine-Learning-Projects

This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.

microsoft / responsible-ai-toolbox

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

qualcomm / ai-hub-models

Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

SanDiegoMachineLearning / bookclub

Notes and links from the book club meetings

webmachinelearning / prompt-api

💬 A proposal for a web API for prompting browser-provided language models

wx-chevalier / AI-Notes

:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

cardmagic / classifier

A general classifier module to allow Bayesian and LSI classifications.

shafaypro / CrackingMachineLearningInterview

A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews

mdozmorov / MachineLearning_notes

Machine learning and deep learning resources

webmachinelearning / webnn

🧠 Web Neural Network API

smartscanapp / smartscan-android

Turn your images and videos into a personal knowledge base

nschaetti / EchoTorch

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

wladimiravila / esp32s3-distributed-ai

Distributed 56M-parameter LLM inference across 3 ESP32-S3 boards via ESP-NOW , Split-PLE + KV cache, fully offline.

rekursiv-ai / priml

Strongly typed configurable building blocks for A/B testing ML research.

MuLabPKU / MachineLearningCourse2026

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