Top 23 Jupyter Notebook Tensorflow Projects
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A linear regression model
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dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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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.
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The majority of this code is taken from the TensorFlow-Tutorials. I highly recommend them to those who want to get started with TensorFlow.
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Project mention: Engineering Trade-Offs in Automatic Differentiation: from TensorFlow and PyTorch to Jax and Julia - Stochastic Lifestyle | reddit.com/r/programming | 2021-12-26
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
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Project mention: Pod.Framework is missing one or more architectures required by this target: x86_64. | reddit.com/r/iOSProgramming | 2022-01-17
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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
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I remember that there was a lecture in the MIT intro course. https://github.com/aamini/introtodeeplearning/tree/master/lab1
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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.
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Project mention: [D] Open source projects for interpretability | reddit.com/r/MachineLearning | 2021-04-28
You should check out Captum for PyTorch: https://captum.ai/ and tf-explain 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).
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t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
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Intel BigDL for Spark which again is for Spark.
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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
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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.
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python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
from Cell 53, here
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alpha-zero-general
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 | 2021-03-01 -
Project mention: All-in-One Docker Based IDE for Data Science and ML | news.ycombinator.com | 2021-09-24
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Project mention: “ValueError: cannot reshape array of size 278540 into shape (256,128,3,3)” Conversion YOLOv3 .weights to .pb | reddit.com/r/computervision | 2021-05-27
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Project mention: 💊Your daily dose of machine learning : converting deep learning models to ONNX format | reddit.com/r/learnmachinelearning | 2021-12-08
You can learn more about this tool on their github repo : https://github.com/onnx/tensorflow-onnx
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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
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machine-learning-experiments
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
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super-resolution
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
Project mention: How to train "models" for opensv edsr (iam super noob) | reddit.com/r/deeplearning | 2021-10-20And thanks ! so it means that I need to train it with one of these trainers inside this project for example https://github.com/krasserm/super-resolution And that means that iam forced to use python (at least for training) but it's OK 🙃
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Jupyter Notebook Tensorflow related posts
- Pod.Framework is missing one or more architectures required by this target: x86_64.
- Android QR Code Detection with TensorFlow Lite
- Can't open Tensorflow lite android studio file
- What is the fastest way to learn Tensorflow?
- Engineering Trade-Offs in Automatic Differentiation: from TensorFlow and PyTorch to Jax and Julia - Stochastic Lifestyle
- Machine and Deep Learning Engineers Will Need These Key Skills
- An Overview of TensorFlow
Index
What are some of the best open-source Tensorflow projects in Jupyter Notebook? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | TensorFlow-Examples | 41,604 |
| 2 | dopamine | 9,720 |
| 3 | TensorFlow-Tutorials | 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 | python-machine-learning-book-3rd-edition | 2,979 |
| 15 | alpha-zero-general | 2,658 |
| 16 | ML-Workspace | 2,388 |
| 17 | yolov3-tf2 | 2,339 |
| 18 | CodeSearchNet | 1,540 |
| 19 | tensorflow-onnx | 1,327 |
| 20 | dl-colab-notebooks | 1,287 |
| 21 | machine-learning-experiments | 1,190 |
| 22 | super-resolution | 1,169 |
| 23 | labml | 959 |
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