Jupyter Notebook Tutorial

Open-source Jupyter Notebook projects categorized as Tutorial
Edit details
Topics: #Deep Learning #Python #Machine Learning #Pytorch #Jupyter
Free Global Payroll designed for tech teams
Building a great tech team takes more than a paycheck. Zero payroll costs, get AI-driven insights to retain best talent, and delight them with amazing local benefits. 100% free and compliant.
try.revelo.com
Sponsored

Top 23 Jupyter Notebook Tutorial Projects

  • TensorFlow-Examples

    TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  • digital_video_introduction

    A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

    Project mention: A Hands-On Introduction to Video Codec Technology and FFmpeg | news.ycombinator.com | 2023-07-21

  • Onboard AI

    Learn any GitHub repo in 59 seconds. Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code. Use it for free at www.getonboard.dev.

  • nlp-tutorial

    Natural Language Processing Tutorial for Deep Learning Researchers

  • pandas_exercises

    Practice your pandas skills!

    Project mention: Does CS 1301 cover topics like NumPy and pandas? | /r/OMSA | 2023-02-09

    pandas notebook

  • TensorFlow-Tutorials

    TensorFlow Tutorials with YouTube Videos

    Project mention: Probabilistic forecasting | /r/MLQuestions | 2023-04-24

    "deep neural network" https://github.com/Hvass-Labs/TensorFlow-Tutorials

  • pytorch-seq2seq

    Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

    Project mention: A Good Github Repo to Look at (CS388 Natural Language Processing) | /r/MSDSO | 2022-10-29

    I don't know how many people are taking CS388 NLP in Fall 2022, but the assignment is really putting lots of stress on me. I was searching some good materials to prepare for NLP class, and a really good resource to look at is this github repo: https://github.com/bentrevett/pytorch-seq2seq.

  • pytorch-sentiment-analysis

    Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

  • Revelo Payroll

    Free Global Payroll designed for tech teams. Building a great tech team takes more than a paycheck. Zero payroll costs, get AI-driven insights to retain best talent, and delight them with amazing local benefits. 100% free and compliant.

  • notebooks

    Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM. (by roboflow)

    Project mention: Roboflow Notebooks: 30+ tutorials on using SOTA models and vision techniques | /r/computervision | 2023-08-31

    We (the Roboflow open source team) actively write open source Google Colab notebooks showing how to use new SOTA models. Our library covers SAM, CLIP, Detectron2, YOLOv8, RTMDet, DINOv2, and more. These notebooks helped me cross the chasm from "how do I use X model?" to being able to both write and understand inference code.

  • 100-plus-Python-programming-exercises-extended

    The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways

  • DeepLearningForNLPInPytorch

    An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

  • uvadlc_notebooks

    Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022

    Project mention: I miss the old days where people asked me to recreate “Facebook” or “Twitter” | /r/ProgrammerHumor | 2023-06-04

    So, I don’t have anything simple that’s readily available, and I don’t know how much you’d get from the code itself without some background. But I would recommend the UVA Deep Learning tutorials. Particularly, I’d recommend trying the autoencoder as a good start (tutorial 9). Autoencoders are very easy and fast models to train.

  • JuliaTutorials

    Learn Julia via interactive tutorials!

  • tutorials

    AI-related tutorials. Access any of them for free → https://towardsai.net/editorial (by towardsai)

    Project mention: Sunt AI Research Scientist, AMA | /r/Romania | 2023-01-13

  • reinforcement_learning_course_materials

    Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

  • pytorch-image-classification

    Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

  • intro-to-python

    [READ-ONLY MIRROR] An intro to Python & programming for wanna-be data scientists

  • JustEnoughScalaForSpark

    A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

    Project mention: Which tutorial to learn functional programming without going in depth ? | /r/scala | 2023-02-09

    - https://github.com/deanwampler/JustEnoughScalaForSpark

  • Julia-DataFrames-Tutorial

    A tutorial on Julia DataFrames package

    Project mention: Pandas vs. Julia – cheat sheet and comparison | news.ycombinator.com | 2023-05-17

    To be clear on this: DataFrames, like most of the Julia ecosystem, follows SemVer. DataFrames 1.0 was released over two years ago (March 2021), and the API has been stable ever since.

    Furthermore, Bogumil Kaminski, one of the main developers behind DataFrames, makes sure that the DataFrames tutorials he has created here (https://github.com/bkamins/Julia-DataFrames-Tutorial) are updated on every new release.

  • get-started-with-JAX

    The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

    Project mention: How to stay up-to-date with the latest AI company announcements and events? | /r/singularity | 2023-05-12

  • sport

    Examples of Computer Vision usage in sports ⚽🏃

    Project mention: [OC] Counting People in the Zones with YOLOv8, OpenCV, and Supervision | /r/dataisbeautiful | 2023-02-21

    I actually have a project where I did exactly that: https://github.com/SkalskiP/sport. Maybe I'll upload it here next week ;)

  • psi4numpy

    Combining Psi4 and Numpy for education and development.

  • zero_to_gpt

    Go from no deep learning knowledge to implementing GPT.

    Project mention: Ask HN: Tell us about your project that's not done yet but you want feedback on | news.ycombinator.com | 2023-08-16

    I'm in the process of creating a deep learning course called Zero to GPT - https://github.com/VikParuchuri/zero_to_gpt .

    It teaches you everything you need to train your own LLM, including the basics of deep learning and linear algebra. You learn the theory and the application, so you have a strong grounding in what you're doing. It includes written explanations, diagrams, and videos.

    I'm up to transformers now - only a few more lessons to go. It's been fun to write, but balancing time spent training models with writing the course has been hard. Hopefully I will get the time to finish it soon.

  • feature-engineering-tutorials

    Data Science Feature Engineering and Selection Tutorials

  • InfluxDB

    Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2023-08-31.

Jupyter Notebook Tutorial related posts

Index

What are some of the best open-source Tutorial projects in Jupyter Notebook? This list will help you:

Project Stars
1 TensorFlow-Examples 42,978
2 digital_video_introduction 14,264
3 nlp-tutorial 13,020
4 pandas_exercises 9,352
5 TensorFlow-Tutorials 9,216
6 pytorch-seq2seq 4,796
7 pytorch-sentiment-analysis 4,025
8 notebooks 3,144
9 100-plus-Python-programming-exercises-extended 2,479
10 DeepLearningForNLPInPytorch 1,862
11 uvadlc_notebooks 1,647
12 JuliaTutorials 1,151
13 tutorials 945
14 reinforcement_learning_course_materials 867
15 pytorch-image-classification 841
16 intro-to-python 754
17 JustEnoughScalaForSpark 668
18 Julia-DataFrames-Tutorial 500
19 get-started-with-JAX 440
20 sport 367
21 psi4numpy 293
22 zero_to_gpt 292
23 feature-engineering-tutorials 242

Sponsored
Clean code begins in your IDE with SonarLint
Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.
www.sonarlint.org