nubank / fklearn
fklearn: Functional Machine Learning
nubank / fklearn
benman1 / generative_ai_with_langchain
Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.
INRIA / scikit-learn-mooc
Machine learning in Python with scikit-learn MOOC
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.
CMA-ES / pycma
Python implementation of CMA-ES
AllenDowney / ThinkStats
Notebooks for the third edition of Think Stats
mGalarnyk / Python_Tutorials
Python tutorials in both Jupyter Notebook and youtube format.
a-r-j / graphein
Protein Graph Library
elastic / elastic-labs
Notebooks & Example Apps for Search, Observability, and Security with Elasticsearch
NirDiamant / Agent_Memory_Techniques
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
AnswerDotAI / fastcore
Python supercharged for the fastai library
AnswerDotAI / fastprogress
Simple and flexible progress bar for Jupyter Notebook and console
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/
NannyML / The-Little-Book-of-ML-Metrics
The book every data scientist needs on their desk.
curiousily / AI-Bootcamp
Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)
weaviate / recipes
This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!
aeturrell / coding-for-economists
This repository hosts the code behind the online book, Coding for Economists.
AllenDowney / ModSimPy
Text and supporting code for Modeling and Simulation in Python
lukebarousse / Python_Data_Analytics_Course
My 'Python for Data Analytics' course on YouTube
joanby / python-ml-course
Curso de Introducción a Machine Learning con Python
awslabs / python-deequ
Python API for Deequ
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
petercorke / RVC3-python
Code examples for Robotics, Vision & Control 3rd edition in Python
d3blocks / d3blocks
The Python library to create stand-alone and interactive d3 charts.
planetlabs / notebooks
interactive notebooks from Planet Engineering
AccumulateMore / OpenCV
✅（已完结）超级全面的 OpenCV 笔记【咕泡唐宇迪】
AccumulateMore / Python
✅（已完结）超级全面的 Python 笔记【马士兵教育】
erdogant / bnlearn
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
giswqs / intro-gispro
Code examples for the book titled Introduction to GIS Programming
cfgranda / ps4ds
Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises
jMetal / jMetalPy
A framework for single/multi-objective optimization with metaheuristics
gyli / PyWaffle
🧇 Make Waffle Charts in Python.
abhisheks008 / DL-Simplified
Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
towardsai / ragbook-notebooks
Repository for the "Building LLMs for Production" book by Towards AI.
deepset-ai / haystack-cookbook
👩🏻🍳 A collection of example notebooks using Haystack
damaiqiangpiao / damai
Damai Maoyan Piaoxingqiu ticket grabbing tech community | Android reverse engineering Frida hook ticket monitor | QQ 955767910
giswqs / geog-312
Introduction to GIS Programming
terrier-org / pyterrier
A Python framework for performing information retrieval experiments, building on http://terrier.org/
AllenDowney / ElementsOfDataScience
An introduction to data science in Python, for people with no programming experience.
xbsheng / atguigu-note
AI 课程笔记：langchain / langgraph / python / vibe coding
zorost / AI-Engineering-Lab
A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.
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。
shahidazam2020-oss / A-Comparative-Machine-Learning-Framework-for-Heart-Attack-Risk-Prediction-Using-Data-Preprocessing
This project presents a comparative machine learning framework for heart attack risk prediction using Python. It includes data preprocessing, feature engineering, SMOTE for class balancing, cross validation, and performance evaluation of multiple ML models.
wenqi9115-glitch / systematic-etf-relative-strength-alpha-attribution
Systematic ETF relative-strength research, overlapping-sleeve portfolio construction, LEAN implementation, and factor attribution.
FareedKhan-dev / agentic-knowledge-graph
Knowledge-graph RAG built from structured metadata instead of LLM extraction. 929M edges, zero LLM calls, 83.2% on held-out PubMedQA. Case study: the full PubMed 2026 baseline.
jaswantlhz / QGSS-26-Resources
Comprehensive archive of IBM Qiskit Global Summer School 2026 (QGSS '26) lecture slides, C++/Python lab walkthroughs, code notebooks, reading strategies, and a curated 80+ item Quantum Computing & QML resource collection.
rasbt / ai-detector-from-scratch
End-to-end project training and building AI models / LLMs to detect AI-written text
python-academy / Module_4_Python_Fundamentals
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python-academy / Module_5_6_Both
Module_5_Data Handling & Visualization_6_AI Applications & Mini Project
grongier / GeomodelingPython
A set of Jupyter notebooks to learn the basics of geological modeling in Python
RichmondAlake / agent_harness_course
Technical companion to the O'Reilly Harness Engineering for AI Agents workshop
fabiofurini / operations-research-lab
Operations Research Lab — continuous optimisation models for Management Engineering: lecture notes, Python/Gurobi code, data and case studies (English version)
StudyBuildCommunity / studybuild-customer-analysis-02
Project 02 of StudyBuild: Analyze customer behavior, generate business insights, and make data-driven decisions using Python.
ZhanbotaErlan / US-Kazakhstan-Stock-Analysis
Independent quantitative finance research project comparing U.S. and Kazakhstan equity markets using Python and portfolio theory.
hamza01055 / ml-from-scratch
Machine learning from scratch with Python and NumPy. Explore 12 chapters covering regression, neural networks, trees, clustering, SVMs, and autodiff with mathematical derivations, interactive notebooks, gradient verification, and 59 automated tests. No scikit-learn or PyTorch.
Jev-Engineering / cookbook
Sixty notebook recipes for typed decisions with Jev: Choice, Noul and Score patterns from a first classification to closed-loop control
mayank953 / python-ai-crash-course
Learn Python from zero, then understand the AI vocabulary behind ChatGPT and Claude: notebooks, whiteboard notes, assignments and a 21-term AI guide.