kubernetes / community

Kubernetes Community Documentation

google-research / vision_transformer

—

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.

NVIDIA / cosmos

NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.

yidao620c / python3-cookbook

《Python Cookbook》 3rd Edition Translation

OpenBMB / MiniCPM

MiniCPM5: SOTA on-device LLMs, small yet powerful.

facebookresearch / dinov3

Reference PyTorch implementation and models for DINOv3

aws / amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

yandexdataschool / nlp_course

YSDA course in Natural Language Processing

udlbook / udlbook

Understanding Deep Learning - Simon J.D. Prince

hoochanlon / hamuleite

🌊深度整合全球顶尖学术、金融与教育资源：学术板块汇聚 JSTOR、Taylor & Francis、剑桥大学出版社等权威平台的论文，并接入 Z-Library 影子图书馆的海量电子书；教育板块收录香港、新加坡从小学到高中以及大学学科教科书；金融板块则聚合香橼、摩根、野村等顶级机构的深度研报，只为打破信息孤岛，构建知识平权普惠知识库。

onnx / models

A collection of pre-trained, state-of-the-art models in the ONNX format

roboflow / notebooks

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

aimacode / aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

GoogleCloudPlatform / training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

fengdu78 / Data-Science-Notes

数据科学的笔记以及资料搜集

tensorflow / examples

TensorFlow examples

GoogleCloudPlatform / python-docs-samples

Code samples used on cloud.google.com

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.

NirDiamant / Prompt_Engineering

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

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.

cantaro86 / Financial-Models-Numerical-Methods

Collection of notebooks about quantitative finance, with interactive python code.

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 👇🏼

google / flax

Flax is a neural network library for JAX that is designed for flexibility.

gepa-ai / gepa

Optimize prompts, code, and more with AI-powered Reflective Optimization

AnswerDotAI / fasthtml

The fastest way to create an HTML app

apple / corenet

CoreNet: A library for training deep neural networks

huggingface / smol-course

A course on aligning smol models.

hugo2046 / QuantsPlaybook

量化研究-券商金工研报复现

charliedream1 / ai_quant_trade

Stock AI Trader: 1-stop platform for learning, sim & live trading. Covers: stock basics, strategies, LLMs, factor mining, ML/DL/RL, graph nets, HFT, C++ deploy & JoinQuant code. 股票AI操盘手：一站式学习、模拟、实盘平台。涵盖：股票基础、策略、大模型、因子挖掘、机器学习/深度学习/强化学习、图网络、高频交易、C++部署及聚宽代码。

yandexdataschool / Practical_RL

A course in reinforcement learning in the wild

ed-donner / agents

Repo for the Complete Agentic AI Engineering Course

tensorflow / docs

TensorFlow documentation

skorch-dev / skorch

A scikit-learn compatible neural network library that wraps PyTorch

snakers4 / silero-models

Silero Models: pre-trained text-to-speech models made embarrassingly simple

higgsfield-ai / higgsfield

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

unslothai / notebooks

250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.

rasbt / reasoning-from-scratch

Implement a reasoning LLM in PyTorch from scratch, step by step

AnswerDotAI / nbdev

Create delightful software with Jupyter Notebooks

neo4j-labs / llm-graph-builder

Neo4j graph construction from unstructured data using LLMs

realpython / materials

Bonus materials, exercises, and example projects for our Python tutorials

naganandy / graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

HugoBlox / hugo-theme-academic-cv

🎓 Academic portfolio that boosts citations. AI generates pages, you own as Markdown. BibTeX auto-import, Jupyter, LaTeX, slides, visual block editor — free to host forever. 学术主页，AI 生成，Markdown 拥有 👇

dusty-nv / jetson-containers

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

py-why / EconML

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.

AllenDowney / ThinkDSP

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

makcedward / nlpaug

Data augmentation for NLP

huggingface / notebooks

Notebooks using the Hugging Face libraries 🤗

TingsongYu / PyTorch-Tutorial-2nd

《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。

nianticlabs / monodepth2

[ICCV 2019] Monocular depth estimation from a single image

PolymathicAI / the_well

A 15TB Collection of Physics Simulation Datasets

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

dempfi / ayu

🎨🖌 Modern, bright color theme for Sublime Text

microsoft / FLAML

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

huggingface / diffusion-models-class

Materials for the Hugging Face Diffusion Models Course

Tencent-Hunyuan / HunyuanDiT

Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

GiovanniPasq / agentic-rag-for-dummies

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

mongodb-developer / GenAI-Showcase

MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.

AllenDowney / ThinkStats2

Text and supporting code for Think Stats, 2nd Edition