DataTalksClub / data-engineering-zoomcamp

Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼

xiaolai / the-craft-of-selfteaching

One has no future if one couldn't teach themself.

The-Art-of-Hacking / h4cker

This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org

guipsamora / pandas_exercises

Practice your pandas skills!

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 👇🏼

rasbt / reasoning-from-scratch

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

wesm / pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

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。

GiovanniPasq / agentic-rag-for-dummies

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

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.

genieincodebottle / generative-ai

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

snakers4 / silero-models

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

hemansnation / AI-Engineer-Headquarters

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

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.

cantaro86 / Financial-Models-Numerical-Methods

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

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.

google / flax

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

MAIF / shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

AllenDowney / ThinkPython

Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.

AnswerDotAI / llms-txt

The /llms.txt file, helping language models use your website

Ramakm / AI-Engineering

A group of notebooks and other files which can help you learn AI from scratch.

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.

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.

calmrocks / ai-engineer-notebooks

Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.

DataDog / toto

Time-Series-Optimized Transformer for Observability

petrobras / 3W

Timely detections for more proactive and effective actions in offshore oil wells!

baselkelziye / YTU_Bilgisayar_Muhendisligi_Arsiv

Yıldız Teknik Üniversitesi Bilgisayar Mühendisliği Bölüme Lisans ve Yüksek Lisansa Dair Genel Bilgiler, Ders Notları, Ders slaytları, Örnek Proje. Burada Staj, Erasmus, Yaz Okulu, KOOP gibi Kavramların Süreçlerini ve Detaylarını bulabilirsiniz.

explaindb / explaindb

A Database System built for Understandability

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

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 🚀.

cksystemsteaching / selfie

An educational software system of a tiny self-compiling C compiler, a tiny self-executing RISC-V emulator, and a tiny self-hosting RISC-V hypervisor.

Xilinx / PYNQ

Python Productivity for ZYNQ

EvgSkv / logica

Logica is a logic programming language that compiles to SQL. It runs on DuckDB, Google BigQuery, PostgreSQL and SQLite.

stanfordmlgroup / ngboost

Natural Gradient Boosting for Probabilistic Prediction

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.

rasbt / ai-detector-from-scratch

End-to-end project training and building AI models / LLMs to detect AI-written text

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 👇

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.

ilmoi / MML-Book

Code / solutions for Mathematics for Machine Learning (MML Book)

elastic / elastic-labs

Notebooks & Example Apps for Search, Observability, and Security with Elasticsearch

khalil-research / PyEPO

A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming

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

ncbi / datasets

NCBI Datasets is a new resource that lets you easily gather data from across NCBI databases.

Nicolepcx / harness_engineering

This is the corresponding code for the O'Reilly book: Harness Engineering

TaroYamada08 / Hacker

This repository is maintained by Hex Core and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org

RichmondAlake / agent_harness_course

Technical companion to the O'Reilly Harness Engineering for AI Agents workshop

norvig / pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

yandexdataschool / Practical_RL

A course in reinforcement learning in the wild

bragai / bRAG-langchain

Everything you need to know to build your own RAG application

microsoft / PhiCookBook

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks

MARKTECHPOST-AI-MEDIA-INC / AI-Agents-Projects-Tutorials

Multi-agent systems, memory, planning, reasoning loops

csinva / imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

aws-samples / amazon-bedrock-samples

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

shivammehta25 / Matcha-TTS

[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching

craffel / pretty-midi

Utility functions for handling MIDI data in a nice/intuitive way.

adrida / tracer

Distill your LLM traces into a fast hybrid System 1 models. Open-source ML + LLM inference with calibrated deferral.

joreilly / BikeShare

SwiftUI, Jetpack Compose, Compose for Desktop and Compose for Web based Kotlin Multiplatform project (using CityBikes API http://api.citybik.es/v2/). Uses Room for local persistence

buildfastwithai / gen-ai-experiments

Collection of Jupyter notebooks is designed to provide you with a comprehensive guide to various AI tools and technologies

google / edward2

A simple probabilistic programming language.