whatisgithub

Popular Jupyter Notebook repositories on GitHub, each answered in plain English for non-coders: what it is, its tech stack, and how to run it.

• sakanaai/ai-scientistA system that uses large language models to automate the full scientific research cycle — generating hypothese
• dragen1860/deep-learning-with-tensorflow-bookAn open-source beginner's book for learning deep learning with TensorFlow 2.0 — includes a PDF, runnable Jupyt
• jpmorganchase/python-trainingJPMorgan Chase's Python training notebooks teaching numerical computing and data visualization to business ana
• ageron/handson-ml3Runnable Jupyter Notebooks from the third edition of Hands-On Machine Learning with Scikit-Learn, Keras, and T
• jupyter/notebookJupyter Notebook is a browser-based tool where you write and run code in cells alongside explanatory text, cha
• datatalksclub/machine-learning-zoomcampMachine Learning Zoomcamp is a free four-month course teaching ML engineering from scratch—regression through
• datawhalechina/llm-universeA Chinese-language beginner tutorial series from Datawhale that teaches you to build AI applications with larg
• vaibhavs10/insanely-fast-whisperA command-line tool that transcribes audio files to text at extreme speed using OpenAI's Whisper model, proces
• kubernetes/communityThe central documentation and governance hub for the Kubernetes open-source community, covering contributor gu
• chenyuntc/pytorch-bookCompanion code for a Chinese-language PyTorch book covering neural network basics through hands-on projects in
• facebookresearch/dinov2DINOv2 is Meta's self-supervised image AI trained on 142 million unlabeled images, producing general-purpose v
• leisurelicht/wtfpython-cnA Chinese translation of the wtfpython project: a collection of surprising Python code examples with explanati
• guipsamora/pandas_exercisesPractice exercises for learning pandas, the Python data library, using real datasets like Chipotle orders and
• rasbt/python-machine-learning-bookJupyter Notebook code examples from the first edition of 'Python Machine Learning' by Sebastian Raschka, cover
• google-research/vision_transformerGoogle Research's code and pre-trained models for Vision Transformer (ViT) and MLP-Mixer — image recognition m
• marceloprates/prettymapsPrettymaps is a Python library that generates stylized artistic map illustrations of any real-world location u
• akashsingh3031/the-complete-faang-preparationA study collection of 450+ coding problems and theory notes on algorithms, data structures, OS, databases, and
• facebookresearch/seamless_communicationA collection of Meta AI models that translate speech and text across roughly 100 languages, including a mode t
• ctgk/prmlPython implementations of all the machine learning algorithms from Bishop's Pattern Recognition and Machine Le
• nielsrogge/transformers-tutorialsA collection of hands-on Jupyter notebooks showing how to apply HuggingFace Transformers models for text, imag
• salesforce/lavisA Python research library from Salesforce that bundles multiple vision-and-language AI models — including BLIP
• hxu296/leetcode-company-wise-problems-2022A snapshot dataset of LeetCode interview questions organized by company — 184 companies with frequency counts
• aws/amazon-sagemaker-examplesOfficial AWS collection of Jupyter notebook tutorials for Amazon SageMaker, covering model training, deploymen
• artidoro/qloraQLoRA is a research technique and codebase that lets you fine-tune very large AI language models on a single c
• google/dopamineDopamine is a small, easy-to-modify research framework from Google for experimenting with reinforcement learni
• bmild/nerfNeRF is the original research code from UC Berkeley and Google that turns a set of photos of a scene into a tr
• fastai/numerical-linear-algebraJupyter Notebook course materials from fast.ai explaining the math behind machine learning — matrix decomposit
• mistralai/mistral-inferenceThe official Python library for running Mistral AI's open-weight language models locally on your own GPU, with
• baiyuetribe/paper2guiA Windows desktop toolbox that wraps more than 50 AI models — including image generation, video upscaling, bac
• yandexdataschool/nlp_courseA 12-week university NLP course from Yandex School of Data Analysis, with hands-on Jupyter Notebook exercises
• lexfridman/mit-deep-learningHands-on Jupyter notebook tutorials from MIT's deep learning course covering neural networks, image segmentati
• facebookresearch/dinov3DINOv3 is a set of large AI vision models from Meta that learn to understand images without labeled data, usab
• goldmansachs/gs-quantA Python library from Goldman Sachs for quantitative finance — structuring and pricing derivatives, building t
• mozilla/ttsMozilla TTS is a Python library that converts text into spoken audio using AI — it covers the full pipeline fr
• tencentarc/photomakerAn AI tool from Tencent that generates new photos of a real person in any scene or style from just a few refer
• modelscope/facechainAn AI tool that generates portrait photos of a real person from just one input photo — place their face into n
• udlbook/udlbookJupyter notebook companions for 'Understanding Deep Learning' by Simon J.D. Prince, providing runnable Python
• roboflow/notebooksA collection of 59 step-by-step computer vision tutorials covering object detection, segmentation, tracking, O
• huseinzol05/stock-prediction-modelsA large collection of Jupyter Notebooks with machine learning models for predicting stock prices and simulatin
• hvass-labs/tensorflow-tutorialsA collection of beginner-friendly TensorFlow tutorials as Jupyter Notebooks, each paired with a YouTube video.
• blue-yonder/tsfreshA Python package that automatically extracts hundreds of statistical features from time series data and filter
• apachecn/interviewA Chinese-language collection of study material for technical job interviews, covering algorithms, coding chal
• openbmb/minicpmMiniCPM is a series of compact AI language models (8B parameters) designed to run on phones, laptops, and edge
• graviraja/mlops-basicsA weekly tutorial series that teaches MLOps — everything needed to take a machine learning model from training
• aimacode/aima-pythonPython implementations of every algorithm from the Artificial Intelligence: A Modern Approach textbook, with i
• ljpzzz/machinelearningRunnable Jupyter notebook collection paired with a Chinese machine learning blog, covering classical ML, deep
• foundationvision/varVAR is a 2024 NeurIPS Best Paper AI image generation project that builds images coarse-to-fine across scales u
• mitdeeplearning/introtodeeplearningThe official hands-on lab notebooks for MIT's Introduction to Deep Learning course, covering computer vision,
• digitalinnovationone/dio-lab-open-sourceA hands-on GitHub lab for beginners learning to make their first open-source pull request, hosted by Digital I
• fengdu78/data-science-notesA structured collection of Jupyter Notebook study notes in Chinese covering data science foundations — from Py
• jasonppy/voicecraftVoiceCraft is an AI model that clones a person's voice from a short audio sample, then generates new spoken wo
• morvanzhou/pytorch-tutorialStep-by-step Python code examples and Jupyter notebooks for learning PyTorch from basics to advanced neural ne
• xianhu/learnpythonA Chinese-language Python learning resource with runnable code examples and Jupyter notebooks covering beginne
• evidentlyai/evidentlyOpen-source Python library for evaluating and monitoring AI systems — check data drift, model accuracy, and LL
• coells/100daysCollection of Jupyter notebooks implementing one algorithm per day for 100 days — classic algorithms in Python
• h2oai/h2o-3H2O is an open-source machine learning platform that trains models on large datasets across distributed cluste
• visualize-ml/book3_elements-of-mathematicsInteractive Jupyter Notebook companion to a Chinese-language textbook covering the mathematical foundations of
• firmai/industry-machine-learningA curated directory of machine learning and data science code notebooks organized by industry sector, linking
• microsoft/tinytroupeA Python research library from Microsoft that simulates groups of people with distinct personalities powered b
• gkamradt/langchain-tutorialsA curated collection of Jupyter Notebook tutorials for learning LangChain, covering document Q&A, summarizatio
• open-mmlab/mmagicMMagic is an AI toolkit for generating, editing, and enhancing images and videos, supporting models like Stabl
• alembics/disco-diffusionA Jupyter notebook for generating AI artwork and animations from text descriptions, running in Google Colab so
• greyhatguy007/machine-learning-specialization-courseraCompleted assignment solutions and lab notebooks for Andrew Ng's Machine Learning Specialization on Coursera,
• mrmimic/data-scientist-roadmapA collection of Jupyter Notebook tutorials that fill in a popular visual data science skills roadmap with prac
• pair-code/facetsTwo browser-based tools that let you visually explore machine learning datasets — one shows statistics per dat
• codebasics/pyA beginner-friendly collection of interactive Python code examples and Jupyter Notebooks from the Codebasics Y
• harvardnlp/annotated-transformerA step-by-step, fully annotated implementation of the Transformer neural network, with working Python code and
• facebookresearch/denseposeDensePose maps every visible pixel in a photo of a person to a 3D body surface, telling you exactly which part
• rasbt/python-machine-learning-book-2nd-editionThis repo is the companion code for the book "Python Machine Learning" second edition, containing 16 Jupyter N
• google/flaxFlax is Google's Python library for building and training neural networks on top of JAX, letting researchers d
• lijin-thu/notes-pythonA collection of Chinese-language Python study notes as interactive Jupyter Notebooks covering basics, NumPy, S
• jvns/pandas-cookbookNine interactive Jupyter notebooks teaching pandas data analysis using real-world datasets, from reading a CSV
• probml/pyprobmlPython notebooks that reproduce every figure and code example from Kevin Murphy's two probabilistic machine le
• fafa-dl/lhy_machine_learningA curated hub of lecture videos, slides, and homework notebooks for Li Hongyi's free machine learning courses
• threestudio-project/threestudioThreestudio is a research framework for generating 3D objects from text prompts or photos, implementing many p
• apple/corenetCoreNet is Apple's open-source Python library for training deep learning models — used internally for publishe
• infrasys-ai/aiinfraOpen-source course (primarily in Chinese) covering the full hardware and software stack behind large AI models
• ai4finance-foundation/finrobotAn open-source Python platform that uses AI agents to automatically generate professional equity research repo
• visualize-ml/book1_python-for-beginnersAn open-source beginner Python programming book delivered as interactive Jupyter Notebooks, covering basic ari
• answerdotai/fasthtmlA Python library for building interactive web pages without writing HTML or JavaScript — you write Python func
• mleveryday/practicalai-cnpracticalAI-cn is a Chinese-language machine learning course delivered as Jupyter Notebooks, covering Python b
• atcold/nyu-dlsp20Interactive coding exercises and lecture materials from NYU's Spring 2020 Deep Learning university course, cov
• cantaro86/financial-models-numerical-methodsA collection of Jupyter notebooks teaching quantitative finance — option pricing, Monte Carlo simulation, Four
• tensorflow/docsThe source files behind tensorflow.org's official guides and tutorials — if you want to contribute a correctio
• crewaiinc/crewai-examplesOfficial collection of runnable applications built on CrewAI, a Python framework for coordinating multiple AI
• ed-donner/llm_engineeringCode and notebooks for an eight-week hands-on course on building real applications with large language models.
• snakers4/silero-modelsSilero Models is a collection of pre-trained text-to-speech models that convert written text into natural-soun
• mrdbourke/tensorflow-deep-learningAll notebooks, datasets, and exercises for the Zero to Mastery Deep Learning with TensorFlow course — covering
• ofa-sys/chinese-clipAn AI model trained on 200 million Chinese image-text pairs that can find which caption best matches an image,
• meituan/yolov6A fast object detection framework by Meituan that identifies and locates objects in images or video, available
• chaoningzhang/mobilesamMobileSAM is a lightweight version of Meta Segment Anything Model that swaps the heavy image encoder for a com
• jeffheaton/t81_558_deep_learningGraduate deep learning course materials from Washington University in St. Louis covering neural networks with
• fastai/coursesThe 2017 fast.ai Practical Deep Learning for Coders course — Jupyter notebooks teaching working programmers to
• pyportfolio/pyportfoliooptPython library that uses modern portfolio theory to calculate how to split money across investments, producing
• salesforce/blipBLIP is a deprecated Salesforce AI research model that handles image captioning, visual question answering, an
• bentrevett/pytorch-seq2seqStep-by-step Jupyter Notebook tutorials for building sequence-to-sequence models in PyTorch, using German-to-E
• pkmital/tensorflow_tutorialsA 2016 TensorFlow tutorial series covering everything from basics through convolutional networks and variation
• lmoroney/dlaicourseA collection of Jupyter Notebooks for learning deep learning. No README is provided, so course structure and p
• charliedream1/ai_quant_tradeA Chinese-language collection of tutorials and code examples for AI-driven stock trading, covering rule-based
• karpathy/neuraltalk2Automatically generates a text caption for any image using deep learning — give it a photo and it produces a s

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