Top 23 Jupyter Notebook Tensorflow Projects

A linear regression model

dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

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.

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

Project mention: Engineering TradeOffs in Automatic Differentiation: from TensorFlow and PyTorch to Jax and Julia  Stochastic Lifestyle  reddit.com/r/programming  20211226
Apple really is focusing on CoreML rather than differentiable swift, that was more of the vision of Swift4TF, which really was driven mostly by Google, until it was cancelled (I assume because of Chris Latner leaving google for SiFive): https://github.com/tensorflow/swift

Project mention: Pod.Framework is missing one or more architectures required by this target: x86_64.  reddit.com/r/iOSProgramming  20220117

Project mention: Anyone willing to help me out on a discord call or something?  reddit.com/r/learnmachinelearning  20210527
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

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

SonarQube
Static code analysis for 29 languages.. Your projects are multilanguage. 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.


Project mention: [D] Open source projects for interpretability  reddit.com/r/MachineLearning  20210428
You should check out Captum for PyTorch: https://captum.ai/ and tfexplain or lucid (this one is the framework used by distill) for Tensorflow although I think they are both oriented towards Vision interpretability (not sure if you are looking for that).

t81_558_deep_learning
Washington University (in St. Louis) Course T81558: Applications of Deep Neural Networks

Intel BigDL for Spark which again is for Spark.

Project mention: What is Probabilistic Programming?  reddit.com/r/learnmachinelearning  20210906
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://mcstan.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://arvizdevs.github.io/arviz/), which can be used for all the abovementioned 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

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.

pythonmachinelearningbook3rdedition
The "Python Machine Learning (3rd edition)" book code repository
from Cell 53, here

alphazerogeneral
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Project mention: Looking for deeper understanding of AlphaZero algorithm  reddit.com/r/baduk  20210301 
Project mention: AllinOne Docker Based IDE for Data Science and ML  news.ycombinator.com  20210924

Project mention: “ValueError: cannot reshape array of size 278540 into shape (256,128,3,3)” Conversion YOLOv3 .weights to .pb  reddit.com/r/computervision  20210527


Project mention: 💊Your daily dose of machine learning : converting deep learning models to ONNX format  reddit.com/r/learnmachinelearning  20211208
You can learn more about this tool on their github repo : https://github.com/onnx/tensorflowonnx

Alright, thanks. I don't think I found uberduck's notebooks with a quick google but I did find this, will probably look at those at some point in time

machinelearningexperiments
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

superresolution
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image superresolution
Project mention: How to train "models" for opensv edsr (iam super noob)  reddit.com/r/deeplearning  20211020And thanks ! so it means that I need to train it with one of these trainers inside this project for example https://github.com/krasserm/superresolution And that means that iam forced to use python (at least for training) but it's OK 🙃

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Index
What are some of the best opensource Tensorflow projects in Jupyter Notebook? This list will help you:
Project  Stars  

1  TensorFlowExamples  41,604 
2  dopamine  9,720 
3  TensorFlowTutorials  8,941 
4  swift  6,042 
5  examples  5,757 
6  docs  5,049 
7  introtodeeplearning  4,995 
8  Practical_RL  4,785 
9  lucid  4,360 
10  t81_558_deep_learning  4,250 
11  BigDL  3,824 
12  probability  3,575 
13  adanet  3,353 
14  pythonmachinelearningbook3rdedition  2,979 
15  alphazerogeneral  2,658 
16  MLWorkspace  2,388 
17  yolov3tf2  2,339 
18  CodeSearchNet  1,540 
19  tensorflowonnx  1,327 
20  dlcolabnotebooks  1,287 
21  machinelearningexperiments  1,190 
22  superresolution  1,169 
23  labml  959 
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