Jupyter Notebook Tensorflow

Open-source Jupyter Notebook projects categorized as Tensorflow | Edit details

Top 23 Jupyter Notebook Tensorflow Projects

  • 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

  • dopamine

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

    Project mention: Rainbow Library | reddit.com/r/reinforcementlearning | 2021-06-10
  • 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.

  • 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.

  • swift

    Swift for TensorFlow (by tensorflow)

    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

  • examples

    TensorFlow examples (by tensorflow)

    Project mention: Pod.Framework is missing one or more architectures required by this target: x86_64. | reddit.com/r/iOSProgramming | 2022-01-17
  • 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

  • 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

  • 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.

  • 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
  • lucid

    A collection of infrastructure and tools for research in neural network interpretability.

    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).

  • t81_558_deep_learning

    Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

    Project mention: Different Outputs on Mac M1 and Windows | reddit.com/r/tensorflow | 2021-11-26
  • 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.

  • 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

  • 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

  • python-machine-learning-book-3rd-edition

    The "Python Machine Learning (3rd edition)" book code repository

    Project mention: What does %-*s do in a print statement? | reddit.com/r/learnpython | 2021-12-08

    from Cell 53, here

  • 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
  • ML-Workspace

    🛠 All-in-one web-based IDE specialized for machine learning and data science.

    Project mention: All-in-One Docker Based IDE for Data Science and ML | news.ycombinator.com | 2021-09-24
  • yolov3-tf2

    YoloV3 Implemented in Tensorflow 2.0

    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
  • CodeSearchNet

    Datasets, tools, and benchmarks for representation learning of code.

  • tensorflow-onnx

    Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

    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

  • dl-colab-notebooks

    Try out deep learning models online on Google Colab (by tugstugi)

    Project mention: xQc's New TTS Summed Up | reddit.com/r/LivestreamFail | 2021-09-05

    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

  • machine-learning-experiments

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

    Project mention: Interactive Machine Learning Experiments | news.ycombinator.com | 2021-08-09
  • 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 | 2021-10-20

    And 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 🙃

  • labml

    🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

    Project mention: Show HN: Probe PyTorch Models | news.ycombinator.com | 2022-01-12
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 2022-01-17.

Jupyter Notebook Tensorflow related posts


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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