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/

  • Nanos

    Run Linux Software Faster and Safer than Linux with Unikernels.

  • GitHub repo fastai

    The fastai deep learning library

    Project mention: D I Refuse To Use Pytorch Because Its A Facebook | reddit.com/r/MachineLearning | 2020-12-29

    Also, not a single docstring to document any code in the library - https://github.com/fastai/fastai/blob/master/fastai/vision/learner.py

  • GitHub repo shap

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

    Project mention: How to interpret machine learning models with SHAP values | dev.to | 2021-11-23

    When using SHAP values in model explanation, we can measure the input features’ contribution to individual predictions. We won’t be covering the complex formulas to calculate SHAP values in this article, but we’ll show how to use the SHAP Python library to easily calculate SHAP values.

  • GitHub repo fastbook

    The fastai book, published as Jupyter Notebooks

    Project mention: What is the most useful free course you have taken? | reddit.com/r/learnmachinelearning | 2021-11-23

    fastai https://www.fast.ai/ it was a game changer for me also there is a lot of additional blogs from students that flesh the material even more, pretty active community with forums and discord server and very useful book that is great as reference (the book available as jupyter notebooks https://github.com/fastai/fastbook)

  • 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.

  • Scout APM

    Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.

  • GitHub repo pandas-profiling

    Create HTML profiling reports from pandas DataFrame objects

    Project mention: Would you rather use coding to analyze your data or use software (Tableau, PowerBI) that can do it for you? | reddit.com/r/datascience | 2021-10-30

    A lot of good things said here about right tool for the job. One I really dig for certain scenarios are Pandas Profiling.

  • GitHub repo PySyft

    A library for answering questions using data you cannot see

    Project mention: Help on creating a Federated Recommender System | reddit.com/r/MLQuestions | 2021-08-17

    Or do I have to actually simulate the whole client server thing because thats how these frameworks do it - Flower and Pysyft .

  • 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.

  • 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: Resource for papers explanation | reddit.com/r/MLQuestions | 2021-11-06
  • 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: Free/cheap text to speech voice for public sharing? | reddit.com/r/HelpMeFind | 2021-11-15

    Mozilla TTS Tacotron

  • 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 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:4384.0 | reddit.com/r/algoprojects | 2021-11-05
  • 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 2021-12-04.

Jupyter Notebook Deep Learning related posts

Index

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

Project Stars
1 TensorFlow-Examples 41,447
2 MadeWithML 29,164
3 fastai 21,674
4 shap 14,785
5 fastbook 13,945
6 first-order-model 11,894
7 TensorFlow-Tutorials 8,915
8 pandas-profiling 8,274
9 PySyft 7,763
10 H2O 5,637
11 nn 5,600
12 pytorch-Deep-Learning 5,546
13 TTS 5,372
14 docs 4,970
15 introtodeeplearning 4,945
16 machine-learning-for-trading 4,882
17 Practical_RL 4,727
18 Stock-Prediction-Models 4,615
19 models 4,167
20 BigDL 3,806
21 NeMo 3,622
22 probability 3,544
23 adanet 3,342
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