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popular Jupyter Notebook repos on github, each explained in plain english: what it does, its stack, and how to run it.

• dibgerge/ml-coursera-python-assignmentsPython rewrites of every Andrew Ng Coursera machine learning assignment as interactive Jupyter Notebooks, full
• probml/pml-bookGitHub home for a three-volume textbook series on machine learning taught through probability and statistics,
• willkoehrsen/data-analysisA public collection of data science and machine learning notebooks in Python, built as a learning portfolio wi
• mahmoudashraf97/whisper-diarizationA Python tool that transcribes audio and labels each sentence with who said it — turns a recording of multiple
• udacity/deep-learning-v2-pytorchCourse notebooks and project starter code for Udacity's Deep Learning Nanodegree, covering neural networks, im
• realpython/materialsHands-on practice code, exercises, and sample projects that accompany the Python tutorials on the Real Python
• nlp-with-transformers/notebooksAll code examples from the O'Reilly book Natural Language Processing with Transformers, organized as runnable
• oreilly-japan/deep-learning-from-scratchSource code for a Japanese book that teaches deep learning by building neural networks from scratch in Python,
• lixin4ever/conference-acceptance-rateA reference table of acceptance rates for major AI and ML research conferences from around 2012 onward, showin
• datawhalechina/competition-baselineA collection of beginner-friendly starter solutions for Chinese data science competitions, with Jupyter Notebo
• boyu-ai/hands-on-rlA Chinese-language tutorial series teaching reinforcement learning from scratch through Jupyter Notebooks — on
• andri27-ts/reinforcement-learningA free 60-day self-paced course teaching deep reinforcement learning through weekly Python coding projects in
• jonkrohn/ml-foundationsA free curriculum of Jupyter notebooks and videos teaching the math behind machine learning — linear algebra,
• remitchell/python-scrapingCode samples from the O'Reilly book 'Web Scraping with Python, 2nd Edition', teaching you how to write Python
• tensorflow/lucidA research toolkit from the TensorFlow team for visualizing what happens inside image-recognition AI models —
• sanchit-gandhi/whisper-jaxWhisper JAX is a faster reimplementation of OpenAI's Whisper speech-to-text model using JAX, capable of transc
• neo4j-labs/llm-graph-builderA tool that converts PDFs, videos, web pages, and other documents into a queryable knowledge graph in Neo4j, u
• bramblexu/pydata-notebookA partial Chinese translation of "Python for Data Analysis" rendered as interactive Jupyter Notebooks, coverin
• dusty-nv/jetson-containersPre-built Docker containers for running AI and machine learning software on Nvidia Jetson edge devices, coveri
• makcedward/nlpaugPython library for generating modified copies of text and audio data to boost AI model training without collec
• khanhnamle1994/cracking-the-data-science-interviewA curated study kit for data science job interviews: cheatsheets on SQL, stats, ML, and deep learning; a quest
• py-why/econmlA Python package from Microsoft Research for estimating causal effects from observational data, measuring how
• bentrevett/pytorch-sentiment-analysisFour hands-on tutorials teaching you how to classify text as positive or negative using PyTorch, progressing f
• whisperspeech/whisperspeechWhisperSpeech is an open-source text-to-speech system that converts written text into natural-sounding audio u
• kaieye/2022-machine-learning-specializationLab notebooks and exercises for Andrew Ng's 2022 Machine Learning Specialization on Coursera, covering supervi
• polynote/polynoteAn experimental multi-language notebook environment where Scala, Python, and SQL cells share variables in a si
• spro/practical-pytorchA now-deprecated set of beginner PyTorch tutorials covering recurrent neural networks for text tasks — the upd
• allendowney/thinkdspA free, code-first textbook on digital signal processing with 11 interactive Python notebook chapters covering
• tingsongyu/pytorch-tutorial-2ndCompanion code for a Chinese-language PyTorch book taking readers from zero to production, covering computer v
• hunkim/deeplearningzerotoallA set of numbered lab code files for learning deep learning basics with TensorFlow, Keras, and MXNet — compani
• google-research/simclrA Google research codebase for training image-recognition models using self-supervised contrastive learning, a
• nianticlabs/monodepth2A research codebase by Niantic that estimates depth in photographs using only a regular camera and no depth se
• nvidia/generativeaiexamplesWorking Jupyter notebook examples for building AI apps with NVIDIA models — covering retrieval-augmented gener
• xitu/tensorflow-docsA community-maintained Chinese translation of the official TensorFlow documentation, including guides, tutoria
• justmarkham/scikit-learn-videosTen beginner-friendly video tutorials (4.5 hours) with matching Jupyter notebooks teaching machine learning us
• mlnlp-world/deeplearning-muli-notesCommunity study notes and runnable Jupyter notebooks in Chinese that follow Mu Li free 73-lecture deep learnin
• pfnet/paintschainerA local web tool that automatically colorizes black-and-white line drawings and anime-style sketches using a n
• qwenlm/qwen3-omniQwen3-Omni is Alibaba's multimodal AI model that reads text, images, audio, and video and replies by typing or
• esokolov/ml-course-hseA two-semester university machine learning course with lecture notes, coding assignments, and linked video rec
• microsoft/phicookbookA collection of hands-on Jupyter notebooks for experimenting with Microsoft's Phi small language models, cover
• mlc-ai/web-stable-diffusionThe first implementation of Stable Diffusion that runs entirely inside a web browser using WebGPU and WebAssem
• higgsfield-ai/higgsfieldHiggsfield is an open-source framework for training billion-parameter AI models across multiple GPU servers, h
• ashishpatel26/andrew-ng-notesA collection of handwritten notes and Jupyter notebooks covering Andrew Ng's Machine Learning course and Deep
• visualize-ml/book2_beauty-of-data-visualizationInteractive Jupyter Notebook code for a Chinese-language data visualization book, letting readers run and expl
• onnx/tutorialsA collection of step-by-step Jupyter Notebook tutorials for converting machine learning models from PyTorch, T
• hemansnation/ai-engineer-headquartersAn 8-stage self-study curriculum for becoming an AI and data engineer, covering machine learning, LLMs, RAG, f
• verazuo/jailbreak_llmsA research dataset of 15,140 ChatGPT prompts including 1,405 labeled jailbreak attempts, released with the ACM
• datadog/go-profiler-notesResearch notes and guides explaining how Go profiling tools actually work under the hood, written by a Datadog
• facebookresearch/laserLASER turns sentences into numerical embeddings that work across 200+ languages, so text in English and its Fr
• chiphuyen/python-is-coolA Jupyter notebook teaching intermediate Python tricks (lambdas, generators, decorators, itertools) useful for
• wangshub/rl-stockRL-Stock is a research project testing whether deep reinforcement learning can learn profitable stock trading
• visualize-ml/book5_essentials-of-probability-and-statisticsCompanion Jupyter notebooks for a Chinese-language textbook on probability and statistics.
• jrjohansson/scientific-python-lecturesA series of Jupyter notebook lectures teaching scientific computing with Python, covering Numpy, Scipy, Matplo
• xinyu1205/recognize-anythingA family of open source AI models (RAM++, RAM, Tag2Text) that automatically tag and caption what appears in an
• datawhalechina/thorough-pytorchA free, Chinese-language, group-based course that teaches PyTorch from the basics through advanced training te
• paddlepaddle/awesome-deeplearningA free, all-in-one deep learning course library from Baidu's PaddlePaddle team, with videos, a Q&A knowledge b
• vijishmadhavan/artlineA deep learning model that turns portrait photos into hand-drawn style line art, runnable free in a browser vi
• lc1332/luotuo-chinese-llmLuotuo is an open-source collection of Chinese-language AI model sub-projects, from instruction-following mode
• raiyanyahya/how-to-train-your-gptAn interactive textbook that teaches you how to build a modern AI language model from scratch, writing every l
• trekhleb/machine-learning-experimentsA collection of learning-focused machine learning experiments, each with a training notebook and a live browse
• krishnaik06/interview-prepartion-data-scienceA collection of Jupyter Notebooks with practice questions and worked examples covering core data science and m
• llsourcell/how-to-predict-stock-prices-easily-demoA beginner-friendly demo that uses a deep learning technique called LSTM neural networks to predict S&P 500 st
• nvidia/cuopt-examplesA collection of Jupyter notebook examples showing how to use NVIDIA's GPU-accelerated cuOpt tool for route pla
• moresamwilson/running-heatmapA Jupyter notebook that turns your downloaded Strava running data into an interactive multi layer heatmap of y
• krishnaik06/text-summarization-nlp-projectA text summarization tool that condenses long text into shorter versions through a simple web interface, with
• alexeygrigorev/build-your-own-search-engineA step-by-step Jupyter Notebook workshop that teaches you how to build a mini search engine for FAQ documents,
• facebookresearch/fmmaxFMMAX is a Python library that simulates how light interacts with nanostructured layered materials like photon
• krishnaik06/complete-machine-learning-2023A free, self-paced machine learning curriculum built as a series of Jupyter Notebooks. It guides beginners fro
• physx-omni/physx-omniA research system that turns images into physically accurate 3D objects, rigid, deformable, or articulated, re
• krishnaik06/hyperparameter-optimizationA collection of Jupyter Notebooks teaching hyperparameter optimization, a technique that automatically finds t
• inbatamilan18/identification-of-tamil-dialects-using-wav2vec-2.0-A small student notebook that classifies Tamil dialects from audio clips by feeding Wav2Vec 2.0 embeddings int
• yashwanthadventure/brain_tumorJupyter notebook that classifies brain MRI scans into four tumor classes using a fine-tuned ResNet50 model tra
• vt-vl-lab/video-data-augA research tool that helps computers learn to recognize human actions in videos using far fewer labeled exampl
• cohlem/nanoclaudeA small educational project that rebuilds a simplified version of Claude Code from scratch.
• rajchandran006-ops/rfd-classification-machine-learning-projectA learning project that trains and compares six machine learning classification algorithms on a dataset called
• gyc-chenxi/llm-fullstack-dev-roadmapA 100-day Chinese-language study roadmap for developers learning to build LLM applications from the ground up.
• roboticsiiith/summer-school-2026Course notebooks and materials for a robotics summer school held at IIIT Hyderabad in 2026.
• quackone/homr_guiA graphical desktop interface for the homr tool that converts images of sheet music into MIDI files, adding CP
• siddeshrizwani/amazonml-price-prediction-transformerA top-17-ranked machine learning solution for the Amazon ML Challenge 2025 that predicts product data using tr
• johilrohan92-prog/fingerprint-based-blood-group-detection-using--vision-transformer-and--ensemble-learningA research project comparing four deep learning models on whether fingerprint images can predict blood group.
• krishnaik06/eda_sweetvizA collection of Jupyter notebooks showing how to use Sweetviz to automatically generate visual summaries of da
• kaopanboonyuen/saie2026Workshop repo for a Super AI Engineer Thailand 2026 course on real-world object detection trade-offs, with six
• jytsss/simulaciones_mundialA Spanish-language data science project that scrapes football statistics and runs 10,000 Monte Carlo simulatio
• othersideai/tinygptA simplified, educational implementation of GPT-style AI models in about 300 lines of code, designed to help y
• krishnaik06/autovizAutoviz automatically generates charts from your dataset. You point it at a CSV file and it picks the right vi
• nudratds/clinical-noshow-prediction-decision-systemA machine learning system that predicts which patients will miss their medical appointments, giving clinic sta
• mjib007/revenue-yoy-backtestEducational Jupyter notebooks that backtest buying Taiwanese stocks after strong year-over-year monthly revenu
• lfrincond/seismic_imaging26Graduate seismic imaging course materials with Jupyter notebooks and Python code teaching Full Waveform Invers
• onuralpszr/litert-lm-cookbookTwelve Python and Colab examples that run Google Gemma-4 E4B locally with LiteRT-LM, from a single completion
• open-x-humanoid/hexVision language action framework for humanoid robots. A 2.4B parameter model takes camera input plus a text in
• i-am-manware/dating-app-behavioural-analysis-for-secure-girlsJupyter notebook pipeline that analyses 123 hand-rated male dating profiles to identify which latent factors a
• 2arons/lcel-forgePython package that turns a plain-English description into LangChain Expression Language code, with a forge ob
• vorhersager/deep-learning-jaxEleven graduate-level Jupyter notebooks teaching deep learning from autodiff up to GPT-2 fine-tuning, RLHF, an
• krishnaik06/testforestfiresA beginner-friendly learning project that wraps a forest fire prediction model in a simple Flask web app, show
• abdurrafey237/rag-chatbotA document Q&A app that answers questions using only your uploaded files, showing the source passages alongsid
• humancompatibleai/paretoA research dataset from a large-scale human study measuring whether AI responses to political questions receiv
• zafar-lab/spddbA benchmarking toolkit that compares methods for estimating cell types and detecting tissue regions in spatial
• quantheus/eurusd_45hypotheses_researchA research notebook that backtests 45 EUR/USD trading strategies against strict prop-trading risk rules, and f
• rohan-paul/cryptocurrency-kaggleA collection of over 26,000 CSV files capturing five-minute snapshots of the top cryptocurrencies from CoinMar
• cynikolai/sequence-cluster-learnerA student NLP course project exploring how to automatically group text data into categories by analyzing word

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