harvard-edge/cs249r_book
Machine Learning Systems
Machine learning, deep learning e LLMs — dos fundamentos matemáticos às aplicações práticas.
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Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
MLOps for DevOps Engineers - A hands-on, project-based guide to Machine Learning Operations
A comprehensive, step-by-step guide to learning Machine Learning from absolute basics to advanced topics
Your Cheat Sheet for Machine Learning Interview – Questions and Answers.
A curated list of awesome Machine Learning frameworks, libraries and software.
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Learn ML engineering for free in 4 months! Register here 👇🏼
🤖 Machine Learning Summer School Guide
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Infrastructure for Machine Learning Guided Optimization (MLGO) in LLVM.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
:earth_americas: machine learning tutorials (mainly in Python3)
Build your own X - Master machine learning by building everything from scratch. It aims to cover everything from linear regression to deep learning to large language models (LLMs).
A roadmap for getting started with Machine Learning
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
Machine learning-Stanford University
Machine learning and deep learning resources
A curated list of awesome responsible machine learning resources.
Полный Roadmap по машинному обучению 2026
Cross Beat (xbe.at) - Your hub for python, machine learning and AI tutorials. Explore Python tutorials, AI insights, and more.
Minimal and clean examples of machine learning algorithms implementations
Become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Learning and more with this complete 0 to 100 repository.
Book_7_《机器学习》 | 鸢尾花书:从加减乘除到机器学习;欢迎批评指正
A collection of machine learning examples and tutorials.
✨ Build a machine learning model from a prompt
Building Machine Learning Projects with TensorFlow by Packt
Examples for using ONNX Runtime for machine learning inferencing.
🟣 LLMs interview questions and answers to help you prepare for your next machine learning and data science interview in 2026.
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Machine Learning and Computer Vision Engineer - Technical Interview Questions
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebra and Calculus.
🟣 Pytorch interview questions and answers to help you prepare for your next machine learning and data science interview in 2026.
🟣 Data Scientist interview questions and answers to help you prepare for your next machine learning and data science interview in 2026.
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Inventory of all the educational content that I share on spatial data analytics, geostatistics and machine learning. I hope these resources are helpful, Prof. Michael Pyrcz
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Cheatsheets for AI and Machine Learning
Quant/Algorithm trading resources with an emphasis on Machine Learning
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
This repo is meant to serve as a detailed guide for Machine Learning/AI interviews.
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
This repository contains mini projects in machine learning with notebook files
Here lies the resources and topics necessary for the role of Data Scientist and Machine Learning
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing, model development, deployment, and maintenance.
Reading list for research topics in multimodal machine learning
A curated list of Machine learning videos, links, projects and datasets to help you conquer the ML landscape in 6 months
:octocat: Machine Learning for Cyber Security
Machine Learning projects with source code - Machine Learning projects for beginners, ML projects for final year college students, machine learning projects - beginner to advanced
deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow†, and MLflow† into a complete platform.
This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
A list of 99 machine learning projects for anyone interested to learn from coding and building projects
Machine learning lessons and teaching projects designed for engineers
Basic Machine Learning and Deep Learning