Lordog / dive-into-llms
《动手学大模型Dive into LLMs》系列编程实践教程
Lordog / dive-into-llms
DataExpert-io / data-engineer-handbook
This is a repo with links to everything you'd ever want to learn about data engineering
DataTalksClub / data-engineering-zoomcamp
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
ed-donner / llm_engineering
Repo to accompany my mastering LLM engineering course
ed-donner / agents
Repo for the Complete Agentic AI Engineering Course
facebookresearch / dinov3
Reference PyTorch implementation and models for DINOv3
DataTalksClub / machine-learning-zoomcamp
Learn ML engineering for free in 4 months! Register here 👇🏼
facebookresearch / sam2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
UFund-Me / Qbot
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
datawhalechina / easy-rl
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
ed-donner / undercover
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facebookresearch / segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
AllenDowney / ThinkStats
Notebooks for the third edition of Think Stats
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.
AlibabaCloudDocs / aliyun_acp_learning
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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/
laysabelici / databricks-qualidade-de-dados
Repositório para estudo sobre qualidade de dados (Data Quality).
AnswerDotAI / llms-txt
The /llms.txt file, helping language models use your website
GoogleCloudPlatform / python-docs-samples
Code samples used on cloud.google.com
peterdsharpe / AeroSandbox
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
kubernetes / community
Kubernetes Community Documentation
AllenDowney / ThinkPython
Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.
dusty-nv / jetson-containers
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
AllenDowney / ThinkDSP
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
DataDog / toto
Time-Series-Optimized Transformer for Observability
AllenDowney / ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
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 👇
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 🚀.
earlyaidopters / gumroad-resources
Auto-synced mirror of every free Early AI-dopters Gumroad resource. Newest first.
inclusionAI / ling-cookbook
Guide, document and practical tips for getting the most out of the Ling model series.
onnx / models
A collection of pre-trained, state-of-the-art models in the ONNX format
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.
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.
AnswerDotAI / fastcore
Python supercharged for the fastai library
jupyter / notebook
Jupyter Interactive Notebook
AnswerDotAI / nbdev
Create delightful software with Jupyter Notebooks
AllenDowney / ModSimPy
Text and supporting code for Modeling and Simulation in Python
GitIndonesia / awesome-indonesia-repo
A curated list of amazingly awesome repository created and contributed by Indonesian people.
retkowsky / Azure-AIGEN-demos
Microsoft Foundry (demos, documentation, accelerators).
GeoscienceAustralia / dea-notebooks
Open-source Jupyter Notebooks and Python tools for geospatial analysis with Digital Earth Australia, Open Data Cube, and Xarray
AllenDowney / ElementsOfDataScience
An introduction to data science in Python, for people with no programming experience.
Neuradock / neuradock-eeg-101
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yidao620c / python3-cookbook
《Python Cookbook》 3rd Edition Translation
AnswerDotAI / fasthtml
The fastest way to create an HTML app
microsoft / FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
keras-team / keras-io
Keras documentation, hosted live at keras.io
jamesturk / jellyfish
🪼 a python library for doing approximate and phonetic matching of strings.
AllenDowney / ThinkBayes2
Text and code for the second edition of Think Bayes, by Allen Downey.
AnswerDotAI / fastprogress
Simple and flexible progress bar for Jupyter Notebook and console
spatialaudio / digital-signal-processing-lecture
Digital Signal Processing - Theory and Computational Examples
AllenDowney / ThinkComplexity2
Book and code for Think Complexity, 2nd edition
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
erdogant / bnlearn
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
superlinked / VectorHub
Deprecated historical repo. Superlinked now develops SIE, a self-hosted inference engine for embeddings, reranking, OCR, extraction, and document processing.
AnswerDotAI / MonsterUI
MonsterUI is a FastHTML Tailwind-powered UI framework for building beautiful web interfaces with minimal code.
danielfrg / mkdocs-jupyter
Use Jupyter Notebook in mkdocs
finic-ai / doctran
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IIC2233 / contenidos
Contenidos para el semestre 2026-2
LAPI-UNAM / quinta_escuela_de_computo_cuantico
En este repositorio se colocará el material utilizado durante la Quinta Escuela de Cómputo Cuántico.
LosingLoonies-Youtube / congress-trading-investigation
Backtests copying the disclosed stock trades of US Congress members. Does following politicians actually beat the market?