mrdbourke / zero-to-mastery-ml
Course materials, code, notebooks and datasets for the Zero to Mastery Machine Learning and Data Science course.
mrdbourke / zero-to-mastery-ml
UFund-Me / Qbot
Open-source AI-oriented quantitative investment platform covering data, strategy research, backtesting, simulated and live trading.
NirDiamant / RAG_Techniques
A collection of 42+ runnable Jupyter notebooks, each tutorial covering an advanced technique for Retrieval-Augmented Generation systems.
google-research / google-research
Monorepo of research code and datasets released by Google Research, spanning many subprojects.
microsoft / ML-For-Beginners
A 12-week, 26-lesson beginner curriculum on classic machine learning using Scikit-learn, with quizzes and projects in Python and R.
microsoft / Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
datawhalechina / deepagents-in-action
📚 《Deep Agents 实战》—— LangChain 官方大使出品，基于 LangChain / LangGraph 生态，从零构建生产级 AI Agent 的完整指南
NVIDIA-NeMo / Nemotron
Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
DataTalksClub / data-engineering-zoomcamp
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
datawhalechina / jev-cookbook
⚡ 适合中国宝宝的 Jev 入门教程｜手把手带你了解关于 Jev 的一切——Jupyter Notebook 轻松实验，从三种问题原语到 18 篇实战配方、语音智能家居、模型评测与本地微调，全面掌握 System One 判断模型的开发范式
ajcr / 100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
stefan-jansen / machine-learning-for-trading
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
DataTalksClub / mlops-zoomcamp
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
DataTalksClub / machine-learning-zoomcamp
A free, cohort-based course teaching ML engineering: training models, exposing them via APIs, and deploying with Docker, Kubernetes, and AWS Lambda.
fastai / fastbook
The fastai book, published as Jupyter Notebooks
DataTalksClub / llm-zoomcamp
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼
alibaba / clusterdata
cluster data collected from production clusters in Alibaba for cluster management research
yandexdataschool / nlp_course
YSDA course in Natural Language Processing
GoogleCloudPlatform / training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
h2oai / h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
PolymathicAI / the_well
A 15TB Collection of Physics Simulation Datasets
microsoft / FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Nixtla / nixtla
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
Visualize-ML / Linear-Algebra-Made-Easy---Learn-with-Python-and-Visualization
”数学不难“ 之 《线性代数不难》上下册，66话题完册；欢迎批评指正
milvus-io / bootcamp
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
datawhalechina / diy-llm
Covers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning | 涵盖预训练数据、分词器、Transformer、MoE、分布式训练、缩放定律、推理与对齐，6 项渐进代码作业，掌握 LLM 全栈知识
AllenDowney / ThinkStats
Notebooks for the third edition of Think Stats
Azure / AzurePublicDataset
Microsoft Azure Traces
datawhalechina / base-llm
从 NLP 到 LLM 的算法全栈教程，在线阅读地址：https://datawhalechina.github.io/base-llm/
joanby / python-ml-course
Curso de Introducción a Machine Learning con Python
petrobras / 3W
Timely detections for more proactive and effective actions in offshore oil wells!
Akun-python / autumn-recruitment
Autumn-Recruit Algo Notes(秋招算法学习仓库)，面向大模型时代的算法、工程与AI学习共建仓库。从数学基础、数据结构，到机器学习、深度学习、LLM、Agent、AI-Infra、语音与数据科学，通过「理解→推导→手写 → 运行 → 验证 → 复盘构建可持续迭代的知识体系。
fivethirtyeight / data
Data and code behind the articles and graphics at FiveThirtyEight
jpmorganchase / python-training
Python training for business analysts and traders
AkashSingh3031 / The-Complete-FAANG-Preparation
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
aws / amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
fengdu78 / Data-Science-Notes
数据科学的笔记以及资料搜集
evidentlyai / evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
yandexdataschool / Practical_RL
A course in reinforcement learning in the wild
makcedward / nlpaug
Data augmentation for NLP
oracle-devrel / oracle-ai-developer-hub
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
tensorflow / probability
Probabilistic reasoning and statistical analysis in TensorFlow
AllenDowney / ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
hemansnation / AI-Engineer-Headquarters
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
ben1234560 / AiLearning-Theory-Applying
快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。
matheusfacure / python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
pinecone-io / examples
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
apache / hamilton
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Tanu-N-Prabhu / Python
This repository helps you learn Python and Machine Learning from scratch.
EvgSkv / logica
Logica is a logic programming language that compiles to SQL. It runs on DuckDB, Google BigQuery, PostgreSQL and SQLite.
Azure / azureml-examples
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
gboeing / osmnx-examples
Gallery of OSMnx tutorials, usage examples, and feature demonstrations.
peremartra / Large-Language-Model-Notebooks-Course
Practical course about Large Language Models.
yandexdataschool / Practical_DL
DL course co-developed by YSDA, HSE and Skoltech
csinva / imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
scikit-learn-contrib / MAPIE
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
nubank / fklearn
fklearn: Functional Machine Learning
datawhalechina / torch-rechub
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
dataquestio / solutions
Solutions for projects.
mlmed / torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.