Jupyter Notebook Deep Learning

Open-source Jupyter Notebook projects categorized as Deep Learning | Edit details

Top 23 Jupyter Notebook Deep Learning Projects

  • GitHub repo TensorFlow-Examples

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

    Project mention: Keras vs. TensorFlow | dev.to | 2021-06-06

    A linear regression model

  • GitHub repo MadeWithML

    Learn how to responsibly deliver value with ML.

    Project mention: New to mlops, where do I need to start | reddit.com/r/mlops | 2021-11-01

    Standing recommendation for beginners (we should eventually make a wiki) is https://madewithml.com/

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • GitHub repo fastai

    The fastai deep learning library

    Project mention: Good practices for neural network training: identify, save, and document best models | dev.to | 2022-01-04

    If you are unaware of what fastai is, its official description is:

  • GitHub repo shap

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

    Project mention: [Q] What's the community's opinion of "interpretable ML/AI"? | reddit.com/r/statistics | 2022-01-14

    I've become a zealot about parametric stats, specifically from the Bayesian paradigm. Something about studying the core business problem, choosing the best distribution(s), and making inferences has been really rewarding for me. But increasingly, I'm seeing tools like SHAP, which allegedly enable users of black-box ML models to intuit what/how their models "think". (SHAP is just one example.)

  • GitHub repo fastbook

    The fastai book, published as Jupyter Notebooks

    Project mention: Starting a career as a Python developer | reddit.com/r/learnpython | 2021-12-20

    I’m a fan of fast book by fastai.

  • GitHub repo first-order-model

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

    Project mention: EbSynth Seinfeld | reddit.com/r/EbSynth | 2021-12-02

    There's a free tool for everyone to play with on github that the authors of the paper First Motion Model For Image Animation made. It does require a little bit of python/github knowledge. https://github.com/AliaksandrSiarohin/first-order-model I talk about it in my Tom Cruise video a bit. The new goat vid is pretty great as always

  • GitHub repo TensorFlow-Tutorials

    TensorFlow Tutorials with YouTube Videos

    Project mention: Plagiarism is just bad | reddit.com/r/github | 2021-02-20

    The majority of this code is taken from the TensorFlow-Tutorials. I highly recommend them to those who want to get started with TensorFlow.

  • OPS

    OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.

  • GitHub repo pandas-profiling

    Create HTML profiling reports from pandas DataFrame objects

    Project mention: Day 2: Fancy packages to work with Dataframe | dev.to | 2021-12-28

    2 packages I want to mention is pandas-profiling and Mito.

  • GitHub repo PySyft

    A library for answering questions using data you cannot see

    Project mention: I made a YT video showing how to host your own super accurate (microsecond) network time (NTP) server using the PPS output of a $12 GPS module | reddit.com/r/selfhosted | 2022-01-13

    Love this kind of project. To me this is just like https://github.com/open-quantum-safe/oqs-demos/ or https://github.com/OpenMined/PySyft or even k3s so often mentioned in this sub in the sense that I personally don't have a need for it. Yet I find it amazing that us, random curious geeks, have access to this kind of mind blowing technologies for basically free.

  • GitHub repo nn

    🧑‍🏫 50! 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] Looking for open source projects to contribute | reddit.com/r/MachineLearning | 2022-01-09
  • GitHub repo 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: [PAID] Looking for Phaser.js game developer | reddit.com/r/INAT | 2021-12-09

    Built and founded various web3 projects for last 2 years such as OpenArt and 8RealmDojo for last 2 years as well as being high performing student in CTU in Prague and SeoulTech. Was offered internships in Amazon and H2O.ai. Created robots assistants using robots from SoftBank.

  • GitHub repo pytorch-Deep-Learning

    Deep Learning (with PyTorch)

    Project mention: A collection of some of the best PyTorch courses for beginners to learn PyTorch online | reddit.com/r/pytorch | 2021-07-27

    And of course our NYU DL course 😉 https://github.com/Atcold/pytorch-Deep-Learning

  • GitHub repo TTS

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

    Project mention: Ich werde bald, vorrausichtlich noch dieses Jahr, stumm werden. Was nun? | reddit.com/r/de | 2022-01-15
  • GitHub repo machine-learning-for-trading

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

    Project mention: Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:5136.0 | reddit.com/r/algoprojects | 2022-01-18
  • GitHub repo docs

    TensorFlow documentation (by tensorflow)

    Project mention: Anyone willing to help me out on a discord call or something? | reddit.com/r/learnmachinelearning | 2021-05-27

    This is the model I’m trying to understand and create my own version of: https://github.com/tensorflow/docs/blob/master/site/en/r1/tutorials/sequences/recurrent_quickdraw.md

  • GitHub repo introtodeeplearning

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

    Project mention: Music Synthesis with python | reddit.com/r/Python | 2021-11-10

    I remember that there was a lecture in the MIT intro course. https://github.com/aamini/introtodeeplearning/tree/master/lab1

  • GitHub repo Practical_RL

    A course in reinforcement learning in the wild

    Project mention: [D] implementation of MCTS in Python | reddit.com/r/MachineLearning | 2021-12-04
  • GitHub repo 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 | 2021-11-08
  • GitHub repo models

    A collection of pre-trained, state-of-the-art models in the ONNX format

    Project mention: Has anyone successfully converted an onnx model to tensorflow? Here's the problems I'm having... | reddit.com/r/tensorflow | 2021-10-27

    Instructions to reproduce the problem: I am trying to convert a proprietary model at work but for now i'll use mobilenetv2-7.onnx to explain/reproduce the issue.

  • GitHub repo BigDL

    Building Large-Scale AI Applications for Distributed Big Data

    Project mention: Machine learning on JVM | reddit.com/r/scala | 2021-04-05

    Intel BigDL for Spark which again is for Spark.

  • GitHub repo NeMo

    NeMo: a toolkit for conversational AI

    Project mention: Yet Another Voice Activity Detection Engine | reddit.com/r/speechrecognition | 2021-10-27

    https://github.com/NVIDIA/NeMo is open-source and has pre-trained VAD model

  • GitHub repo probability

    Probabilistic reasoning and statistical analysis in TensorFlow

    Project mention: What is Probabilistic Programming? | reddit.com/r/learnmachinelearning | 2021-09-06

    This tutorial explains what is probabilistic programming & provides a review of 5 frameworks (PPLs) using an example taken from Chapter 4 of Statistical Rethinking by Dr. Richard McElreath. Frameworks (PPLs) reviewed are - Stan (https://mc-stan.org/) PyMC3 (https://docs.pymc.io/) Tensorflow Probability (https://www.tensorflow.org/probability) Pyro/NumPyro (https://pyro.ai/) Turing.jl (https://turing.ml/stable/) I also provide the basic review of a great library called arviz (https://arviz-devs.github.io/arviz/), which can be used for all the above-mentioned PPLs to do Exploratory Data Analysis of Bayesian Models. Here is the link to the notebook in which I have implemented the example model using the above Frameworks/PPLs https://colab.research.google.com/drive/1zgR2b0j2waGi1ppnIe1rw7emkbBXtMqF?usp=sharing

  • GitHub repo adanet

    Fast and flexible AutoML with learning guarantees.

    Project mention: Show HN: AutoAI | news.ycombinator.com | 2021-11-12

    Looks like a nice project. I just bookmarked it to try sometime.

    At a previous job, my boss wanted me to spend time on AutoML. I based my work on Google’s AdaNet [1] that did architecture search inside a single TensorFlow session. Unfortunately that project seems to have been abandoned.

    [1] https://github.com/tensorflow/adanet

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 2022-01-18.

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 41,573
2 MadeWithML 29,372
3 fastai 21,812
4 shap 15,107
5 fastbook 14,148
6 first-order-model 12,076
7 TensorFlow-Tutorials 8,941
8 pandas-profiling 8,399
9 PySyft 7,871
10 nn 6,030
11 H2O 5,691
12 pytorch-Deep-Learning 5,616
13 TTS 5,517
14 machine-learning-for-trading 5,147
15 docs 5,045
16 introtodeeplearning 4,986
17 Practical_RL 4,763
18 Stock-Prediction-Models 4,759
19 models 4,294
20 BigDL 3,824
21 NeMo 3,771
22 probability 3,571
23 adanet 3,351
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