Jupyter Notebook Tensorflow

Open-source Jupyter Notebook projects categorized as Tensorflow
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Topics: Deep Learning Machine Learning Python Keras Pytorch
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Top 23 Jupyter Notebook Tensorflow Projects

  • TensorFlow-Examples

    TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  • handson-ml

    ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo

  • nlp-tutorial

    Natural Language Processing Tutorial for Deep Learning Researchers

  • DeepLearningExamples

    State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  • dopamine

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

  • TensorFlow-Tutorials

    TensorFlow Tutorials with YouTube Videos

    • Project mention: Probabilistic forecasting | /r/MLQuestions | 2023-04-24

    "deep neural network" https://github.com/Hvass-Labs/TensorFlow-Tutorials

  • examples

    TensorFlow examples (by tensorflow)

    • Project mention: Open Source Ascendant: The Transformation of Software Development in 2024 | dev.to | 2024-03-19

    AI's Open Embrace Artificial intelligence (AI) and machine learning (ML) are increasingly leveraging open-source frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/]. This democratization of AI tools is driving innovation and lowering entry barriers across industries.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo

  • introtodeeplearning

    Lab Materials for MIT 6.S191: Introduction to Deep Learning

  • pyprobml

    Python code for "Probabilistic Machine learning" book by Kevin Murphy

  • docs

    TensorFlow documentation (by tensorflow)

  • Practical_RL

    A course in reinforcement learning in the wild

  • t81_558_deep_learning

    T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

  • tensorflow-deep-learning

    All course materials for the Zero to Mastery Deep Learning with TensorFlow course. (by mrdbourke)

  • lucid

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

  • machine_learning_complete

    A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

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

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

  • probability

    Probabilistic reasoning and statistical analysis in TensorFlow

    • Project mention: How often do you see Bayesian Statistics or Stan in the DS world? Essential skill or a nice to have? | /r/datascience | 2023-06-17

    TensorFlow-Probability

  • alpha-zero-general

    A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

    • Project mention: Competitive reinforcement learning for turn-based games | /r/reinforcementlearning | 2023-05-26

    This is a good intro to alphazero and montecarlo treesearch , Followed by This repo.

  • adanet

    Fast and flexible AutoML with learning guarantees.

  • ML-Workspace

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

  • LSTM-Human-Activity-Recognition

    Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

  • ML-foundations

    Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

  • Machine-Learning-Specialization-Coursera

    Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

    • Project mention: Linear Algebra for Programmers | news.ycombinator.com | 2023-09-01

    I cannot recommend Andrew Ng's courses on Machine Learning enough. Something like this seems like it would cover everything you're looking for.

    https://www.coursera.org/learn/machine-learning

    I cannot speak to the author of the content of this github repo, but it appears they have completed the course and included all of the solutions here. It might let you jump right to what you're looking for.

    https://github.com/greyhatguy007/Machine-Learning-Specializa...

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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).

Jupyter Notebook Tensorflow related posts

Index

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

Project Stars
1 TensorFlow-Examples 43,200
2 handson-ml 25,090
3 nlp-tutorial 13,666
4 DeepLearningExamples 12,576
5 dopamine 10,367
6 TensorFlow-Tutorials 9,250
7 examples 7,742
8 introtodeeplearning 6,841
9 pyprobml 6,243
10 docs 6,024
11 Practical_RL 5,709
12 t81_558_deep_learning 5,666
13 tensorflow-deep-learning 4,849
14 lucid 4,599
15 machine_learning_complete 4,501
16 python-machine-learning-book-3rd-edition 4,386
17 probability 4,128
18 alpha-zero-general 3,667
19 adanet 3,471
20 ML-Workspace 3,324
21 LSTM-Human-Activity-Recognition 3,265
22 ML-foundations 2,945
23 Machine-Learning-Specialization-Coursera 2,680

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