Top 23 Jupyter Notebook Tensorflow Projects
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 is a research framework for fast prototyping of reinforcement learning algorithms.Project mention: Rainbow Library | reddit.com/r/reinforcementlearning | 2021-06-10
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 with YouTube VideosProject 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 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
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
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
Lab Materials for MIT 6.S191: Introduction to Deep LearningProject 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
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.
A course in reinforcement learning in the wildProject mention: [D] implementation of MCTS in Python | reddit.com/r/MachineLearning | 2021-12-04
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).
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural NetworksProject mention: Different Outputs on Mac M1 and Windows | reddit.com/r/tensorflow | 2021-11-26
Building Large-Scale AI Applications for Distributed Big DataProject mention: Machine learning on JVM | reddit.com/r/scala | 2021-04-05
Intel BigDL for Spark which again is for Spark.
Probabilistic reasoning and statistical analysis in TensorFlowProject 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
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  that did architecture search inside a single TensorFlow session. Unfortunately that project seems to have been abandoned.
The "Python Machine Learning (3rd edition)" book code repositoryProject mention: What does %-*s do in a print statement? | reddit.com/r/learnpython | 2021-12-08
from Cell 53, here
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and moreProject mention: Looking for deeper understanding of AlphaZero algorithm | reddit.com/r/baduk | 2021-03-01
🛠 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 Implemented in Tensorflow 2.0Project 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
Datasets, tools, and benchmarks for representation learning of code.
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNXProject 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
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
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demoProject mention: Interactive Machine Learning Experiments | news.ycombinator.com | 2021-08-09
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolutionProject 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 🙃
🔎 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
Jupyter Notebook Tensorflow related posts
Pod.Framework is missing one or more architectures required by this target: x86_64.
2 projects | reddit.com/r/iOSProgramming | 17 Jan 2022
Android QR Code Detection with TensorFlow Lite
5 projects | dev.to | 13 Jan 2022
Can't open Tensorflow lite android studio file
2 projects | reddit.com/r/tensorflow | 11 Jan 2022
What is the fastest way to learn Tensorflow?
1 project | reddit.com/r/tensorflow | 6 Jan 2022
Engineering Trade-Offs in Automatic Differentiation: from TensorFlow and PyTorch to Jax and Julia - Stochastic Lifestyle
1 project | reddit.com/r/programming | 26 Dec 2021
Machine and Deep Learning Engineers Will Need These Key Skills
1 project | reddit.com/r/u_Snoo36930 | 23 Dec 2021
An Overview of TensorFlow
1 project | dev.to | 16 Dec 2021
What are some of the best open-source Tensorflow projects in Jupyter Notebook? This list will help you:
Are you hiring? Post a new remote job listing for free.