Jupyter Notebook Deep Learning

Open-source Jupyter Notebook projects categorized as Deep Learning

Top 23 Jupyter Notebook Deep Learning Projects

  • TensorFlow-Examples

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

  • Made-With-ML

    Learn how to responsibly develop, deploy and maintain production machine learning applications.

    Project mention: Made with ML: how much time would it take to follow the whole course? | reddit.com/r/learnmachinelearning | 2023-01-31

    Hello fellow learners; the title says it all. Do you have experience completing the course? How much time do you think I should reserve to finish it? Thanks to anyone that will help :)

  • InfluxDB

    Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.

  • handson-ml

    ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

    Project mention: need a book recommendation for machine learning on python | reddit.com/r/learnpython | 2022-05-25

    Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow is often recommended. You can check out the GitHub repo first: https://github.com/ageron/handson-ml

  • fastai

    The fastai deep learning library

    Project mention: Fast.ai starts a corporate partnership program | news.ycombinator.com | 2023-01-17

    You may know fast.ai as a popular deep learning course. There is also a deep learning library with the same name (https://github.com/fastai/fastai) as well as software development tools like nbdev (https://nbdev.fast.ai/).

    fast.ai has been offering education and tools for free for over 7 years, and has been approached by many companies asking for help. This program offers an avenue for business to get relevant professional services and support.

  • shap

    A game theoretic approach to explain the output of any machine learning model.

    Project mention: SHAP Value Interpretation | reddit.com/r/datascience | 2022-09-07

    See this closed topic for more detail: https://github.com/slundberg/shap/issues/29

  • learnopencv

    Learn OpenCV : C++ and Python Examples

    Project mention: Object detection with depth measurement using pre-trained models with OAK-D | reddit.com/r/computerscience | 2022-04-29

    Code Link : https://github.com/spmallick/learnopencv/tree/master/OAK-Object-Detection-with-Depth

  • fastbook

    The fastai book, published as Jupyter Notebooks

    Project mention: Fastai Chapter 4 - The important parts, Part 2: Building a regression model | dev.to | 2023-01-25

    The book is available online here The course is accessible here

  • SonarQube

    Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.

  • nn

    🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

    Project mention: [D] Recent ML papers to implement from scratch | reddit.com/r/MachineLearning | 2022-10-10
  • first-order-model

    This repository contains the source code for the paper First Order Motion Model for Image Animation

    Project mention: d-id.com is an awesome AI tool to animate any character into a video and add human-like, yet artificial, voice-overs ! | reddit.com/r/artificial | 2023-01-08
  • DeepLearningExamples

    State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

    Project mention: A small example from Tacotron2 trained on Brandon "Atrioc" Ewing | reddit.com/r/artificial | 2022-07-08

    GitHub Used: https://github.com/NVIDIA/DeepLearningExamples/tree/master/PyTorch/SpeechSynthesis/Tacotron2

  • TensorFlow-Tutorials

    TensorFlow Tutorials with YouTube Videos

  • computervision-recipes

    Best Practices, code samples, and documentation for Computer Vision.

  • amazon-sagemaker-examples

    Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

    Project mention: Study Plan to pass exam AWS Machine Learning Specialty exam with tips and advice | dev.to | 2022-11-03

    It's time to get your hands dirty by solving some ML Use Cases of your own from AWS SageMaker Use Cases repo.

  • machine-learning-for-trading

    Code for Machine Learning for Algorithmic Trading, 2nd edition.

    Project mention: How to become quant from cs | reddit.com/r/csMajors | 2022-10-29
  • TTS

    :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts) (by mozilla)

    Project mention: What is the most human-souding TTS option in Archlinux, available through arch repos and AUR? | reddit.com/r/archlinux | 2023-01-23
  • pytorch-Deep-Learning

    Deep Learning (with PyTorch)

  • H2O

    H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

    Project mention: Best machine learning framework(s) for production | reddit.com/r/learnmachinelearning | 2022-12-05

    Thanks for the input. To clarify, I am more focused on choosing the modeling framework(s) that makes the most sense to use for future production. For example, is h2o.ai a good framework for training models for later deployment (through something like elastic beanstalk, Flask API's etc.)? I came across a number of mentions of Tensorflow, however it is focused on neural nets while I also want to use classic models such as random forests, etc.

  • Stock-Prediction-Models

    Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

    Project mention: Stock-Prediction-Models: very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storag | reddit.com/r/algoprojects | 2023-02-02
  • introtodeeplearning

    Lab Materials for MIT 6.S191: Introduction to Deep Learning

  • docs

    TensorFlow documentation (by tensorflow)

  • models

    A collection of pre-trained, state-of-the-art models in the ONNX format (by onnx)

    Project mention: Text generation with GPT-2 in Ruby | dev.to | 2022-09-25

    Here we use the GPT-2 model distributed by the ONNX official. Download GPT-2-LM-HEAD from the link.

  • Practical_RL

    A course in reinforcement learning in the wild

  • vosk-api

    Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

    Project mention: A new voice assistant that looks promising | reddit.com/r/perl | 2023-01-21

    The set up script wants to download https://github.com/alphacep/vosk-api/releases/download/v0.3.45/vosk-model-en-v0.3.45.zip, but this resource is not found. AFAICT all releases never contained a model file. Remedy: hardcode one model from https://alphacephei.com/vosk/models. I guessed and picked the one with the closest name, vosk-model-en-us-0.22.zip, just so I could continue.

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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 2023-02-02.

Jupyter Notebook Deep Learning related posts


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

Project Stars
1 TensorFlow-Examples 42,470
2 Made-With-ML 32,228
3 handson-ml 24,961
4 fastai 23,335
5 shap 18,392
6 learnopencv 17,848
7 fastbook 17,136
8 nn 16,789
9 first-order-model 12,999
10 DeepLearningExamples 10,149
11 TensorFlow-Tutorials 9,115
12 computervision-recipes 8,821
13 amazon-sagemaker-examples 7,820
14 machine-learning-for-trading 6,691
15 TTS 6,637
16 pytorch-Deep-Learning 6,260
17 H2O 6,123
18 Stock-Prediction-Models 5,783
19 introtodeeplearning 5,683
20 docs 5,589
21 models 5,451
22 Practical_RL 5,217
23 vosk-api 5,107
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives