TensorFlow

Swift for Tensorflowtensorflow/swift

An archived experiment integrating TensorFlow's machine learning capabilities directly into the Swift programming language with first-class differentiable programming.

TensorFlow tutorialsnlintz/TensorFlow-Tutorials

A collection of simple tutorials introducing deep learning concepts using Google's TensorFlow framework.

Sentence Classification with CNNdennybritz/cnn-text-classification-tf

A TensorFlow implementation of a convolutional neural network for sentence classification based on Yoon Kim's paper.

More TensorFlow tutorialspkmital/tensorflow_tutorials

A collection of TensorFlow tutorials covering basics to advanced neural network architectures with Python code and notebooks.

leela-zeroleela-zero/leela-zero

An open-source Go engine that replicates AlphaGo Zero's architecture, learning solely through self-play without human knowledge.

Neural Styleanishathalye/neural-style

A TensorFlow implementation of neural style transfer that transforms images by applying artistic styles from one image to another.

fawkesShawn-Shan/fawkes

A privacy protection tool that adds imperceptible pixel-level changes to photos to prevent unauthorized facial recognition.

Wavenetibab/tensorflow-wavenet

A TensorFlow implementation of DeepMind's WaveNet neural network for generating raw audio waveforms.

Graph Netsgoogle-deepmind/graph_nets

DeepMind's library for building graph networks in TensorFlow and Sonnet, enabling graph-structured data processing with neural networks.

tf-quant-financegoogle/tf-quant-finance

A high-performance TensorFlow library for quantitative finance, providing mathematical methods, pricing models, and calibration tools.

textgenrnnminimaxir/textgenrnn

A Python module for easily training character- or word-level text-generating neural networks on any dataset with minimal code.

lucidtensorflow/lucid

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

Scalable sentiment analysisdotnet/machinelearning-samples

A collection of samples demonstrating how to use ML.NET for various machine learning tasks in .NET applications.

TensorFlow BookBinRoot/TensorFlow-Book

Official code repository for the 'Machine Learning with TensorFlow' book with practical examples.

Oryxtensorflow/probability

A library for probabilistic reasoning and statistical analysis integrated with TensorFlow and JAX.

spark-nlpJohnSnowLabs/spark-nlp

A state-of-the-art Natural Language Processing library built on Apache Spark, offering 100,000+ pretrained models and pipelines in 200+ languages.

Acmegoogle-deepmind/acme

A research framework for reinforcement learning providing modular building blocks and reference agent implementations.

TensorFlowOnSparkyahoo/TensorFlowOnSpark

Enables distributed TensorFlow training and inferencing on Apache Spark and Hadoop clusters with minimal code changes.

Tensorflow-Project-TemplateMrgemy95/Tensorflow-Project-Template

A TensorFlow project template with a well-designed folder structure and OOP design to accelerate deep learning development.

Colornet - Neural Network to colorize grayscale imagespavelgonchar/colornet

A neural network that automatically adds color to grayscale images using deep learning techniques.

ML Workspaceml-tooling/ml-workspace

A web-based IDE for machine learning and data science with pre-installed libraries and tools, deployable via Docker.

Classification on raw time series in TensorFlow with a LSTM RNNguillaume-chevalier/LSTM-Human-Activity-Recognition

Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.

LSTM for Human Activity Recognitionguillaume-chevalier/LSTM-Human-Activity-Recognition

Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.

SRGANtensorlayer/srgan

Implementation of SRGAN for photo-realistic single image super-resolution using generative adversarial networks.

TensorWatchmicrosoft/tensorwatch

A debugging and visualization tool for data science, deep learning, and reinforcement learning in Jupyter Notebook.

Ethen's Notebook Collectionethen8181/machine-learning

A comprehensive collection of machine learning tutorials and implementations in Python, covering algorithms from scratch to production deployment.

TensorForce - A TensorFlow library for applied reinforcement learningreinforceio/tensorforce

A modular TensorFlow library for applied reinforcement learning with a focus on flexible design and practical usability.

Tensorforcetensorforce/tensorforce

A modular TensorFlow library for applied reinforcement learning with a focus on flexible design and practical usability.

waymo-open-datasetwaymo-research/waymo-open-dataset

A collection of autonomous driving datasets and evaluation code for advancing machine perception and self-driving research.

pyslamluigifreda/pyslam

A hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras with modern features, loop closure, and dense reconstruction.

DDSPmagenta/ddsp

A library of differentiable digital signal processing functions for interpretable audio synthesis in deep learning models.

captcha_trainerkerlomz/captcha_trainer

A deep learning framework for training image classification models to solve complex captcha and OCR tasks.

TRFLdeepmind/trfl

A TensorFlow library providing building blocks for implementing Reinforcement Learning agents.

Neural Stylecysmith/neural-style-tf

A TensorFlow implementation of neural style transfer for images and videos, blending content and artistic styles using convolutional neural networks.

tf-agentstensorflow/agents

A TensorFlow library for implementing, deploying, and testing Contextual Bandits and Reinforcement Learning algorithms.

Keras Tunerkeras-team/keras-tuner

An easy-to-use, scalable hyperparameter optimization framework for Keras models with define-by-run syntax and built-in search algorithms.