TensorFlow

More TensorFlow tutorials

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

TensorFlow tutorials

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

TensorFlow Tutorial 3

A collection of beginner-friendly TensorFlow tutorials with accompanying YouTube videos covering deep learning fundamentals and advanced topics.

TensorFlow Python Notebooks

A comprehensive collection of TensorFlow tutorials and examples for beginners, covering both TF v1 and v2 with clear explanations.

Sungjoon's TensorFlow-101

A collection of beginner-friendly TensorFlow tutorials using Jupyter Notebook, covering deep learning fundamentals and practical applications.

Terry Um’s TensorFlow Exercises

A collection of TensorFlow practice exercises covering fundamental machine learning concepts from linear regression to CNNs.

Installing TensorFlow on Raspberry Pi 3

Official TensorFlow Python wheels for Raspberry Pi, enabling machine learning on edge devices.

Classification on raw time series in TensorFlow with a LSTM RNN

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

Predict time series

A TensorFlow-based educational project for learning seq2seq RNNs through signal forecasting exercises.

Effective Tensorflow

A comprehensive guide to TensorFlow 2.x covering fundamentals, best practices, and advanced topics for efficient machine learning development.

Tensorflow-Project-Template

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

Domain Transfer Network

TensorFlow implementation of unsupervised cross-domain image generation for transferring images between domains like SVHN to MNIST.

Show, Attend and Tell

TensorFlow implementation of an attention-based neural image caption generator that focuses on relevant image parts while generating words.

Neural Style

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

SRGAN

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

Pretty Tensor

A high-level builder API for TensorFlow that enables fluent, chainable neural network construction.

Neural Style

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

TensorFlow White Paper Notes

Annotated notes and summaries of the TensorFlow white paper, with SVG figures and links to documentation.

NeuralArt

A TensorFlow implementation of the neural style transfer algorithm that applies artistic styles to images.

Generative Handwriting Demo using TensorFlow

Generates realistic handwriting using LSTM Mixture Density Networks implemented in TensorFlow.

Neural Turing Machine in TensorFlow

TensorFlow implementation of Neural Turing Machines with LSTM controllers, supporting multiple read/write heads.

GoogleNet Convolutional Neural Network Groups Movie Scenes By Setting

A command-line utility that uses convolutional neural networks to search and filter videos based on objects and places that appear in them.

Neural machine translation between the writings of Shakespeare and modern English using TensorFlow

Neural machine translation between Shakespearean and modern English using TensorFlow.

Chatbot

A TensorFlow implementation of a neural conversational model (seq2seq) for building deep learning chatbots.

Seq2seq-Chatbot

A minimal 200-line implementation of a sequence-to-sequence chatbot using TensorLayer and TensorFlow.

DCGAN

A minimal implementation of Deep Convolutional Generative Adversarial Networks (DCGAN) using TensorLayerX for generating realistic images.

GAN-CLS

TensorFlow implementation of GAN-CLS algorithm for generating images from text descriptions using adversarial networks.

im2im

An implementation of unsupervised image-to-image translation using Generative Adversarial Networks (GANs).

Improved CycleGAN

A TensorLayer re-implementation of CycleGAN with improvements like resize-convolution and instance normalization.

DAGAN

A deep learning model using generative adversarial networks for fast compressed sensing MRI reconstruction.

Colornet - Neural Network to colorize grayscale images

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

Weakly_detector

TensorFlow implementation of weakly-supervised object localization using only image-level labels, without bounding box annotations.

HMM in TensorFlow

TensorFlow and NumPy implementations of HMM Viterbi and forward/backward algorithms for sequence modeling.

DeepOSM

Train neural networks with OpenStreetMap data and satellite imagery to classify roads and map features.

DQN-tensorflow

TensorFlow implementation of Deep Q-Networks (DQN) for human-level control in reinforcement learning environments.

Policy Gradient

A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers, offering customizable neural layers.

DAGGER

A simple implementation of the DAGGER imitation learning algorithm for autonomous steering control in the Torcs racing simulator.

Hierarchical Attention Networks

TensorFlow implementation of hierarchical attention networks for document classification using GRU cells and attention mechanisms.

Sentence Classification with CNN

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

End-To-End Memory Networks

A TensorFlow implementation of End-To-End Memory Networks with a scikit-learn-like interface for bAbI tasks.

Character-Aware Neural Language Models

TensorFlow implementation of character-aware neural language models using CNN, highway networks, and LSTM.

YOLO TensorFlow ++

A TensorFlow implementation of YOLO for real-time object detection, supporting weight conversion, training, and mobile deployment.

Wavenet

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

Mnemonic Descent Method

A TensorFlow implementation of the Mnemonic Descent Method for end-to-end face alignment.

U-Net

A U-Net implementation for brain tumor segmentation using the BRATS 2017 dataset with data augmentation and dice loss.

Attentive Object Tracking

A TensorFlow implementation of hierarchical attentive recurrent neural networks for single object tracking in videos.

Unsupervised Object Counting

A TensorFlow implementation of Attend, Infer, Repeat (AIR), a generative model for fast scene understanding by reconstructing objects sequentially.

Tensorflow FastText

A TensorFlow implementation of fastText for embedding-based text classification with support for character ngrams and distributed training.

MusicGenreClassification

Classify music genre from a 10-second audio stream using a convolutional neural network trained on mel-frequency spectrograms.

Kubeflow

A composable, modular, and scalable machine learning toolkit for building AI platforms on Kubernetes.

TensorNets

High-level TensorFlow network definitions with pre-trained weights for easy integration into existing ML workflows.

Ladder Network

A Keras implementation of Ladder Networks for semi-supervised learning, achieving 98% accuracy on MNIST with only 100 labeled examples.

YOLO TensorFlow

TensorFlow implementation of YOLO for real-time object detection using pretrained YOLO_small, YOLO_tiny, and YOLO_face models.

android-yolo

Real-time object detection on Android using YOLO with TensorFlow, detecting 20 object classes from the Pascal VOC dataset.

Magenta

A research project exploring machine learning for generating music, images, and art using deep learning and reinforcement learning.

Lattice

A TensorFlow library implementing constrained and interpretable lattice-based models with shape constraints like monotonicity and convexity.

tensorflow.rb

A Ruby API for TensorFlow, enabling machine learning and deep learning within Ruby applications.

tflearn

A modular deep learning library providing a higher-level API for TensorFlow to speed up experimentation.

TensorLayer

A TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers with customizable neural layers.

TensorFrames

TensorFlow binding for Apache Spark DataFrames, enabling TensorFlow program execution on Spark data.

TensorForce - A TensorFlow library for applied reinforcement learning

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

TensorFlowOnSpark

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

Proof of concept for loading Caffe models in TensorFlow

Convert Caffe deep learning models to TensorFlow format for deployment and inference.

keras-js

Run trained Keras models directly in the browser with GPU acceleration via WebGL.

Sonnet - a library for constructing neural networks by Google's DeepMind

A TensorFlow 2 library providing simple, composable abstractions for machine learning research via the snt.Module concept.

tensorpack

A high-performance neural network training interface for TensorFlow focused on speed, flexibility, and reproducible research.

pytorch2keras

Convert PyTorch models to Keras (TensorFlow backend) for deployment and interoperability.

StellarGraph

A Python library for machine learning on graphs and networks, offering state-of-the-art algorithms for tasks like node classification and link prediction.

TensorLayerX

A unified deep learning and reinforcement learning framework supporting multiple backends and hardware platforms.

Speedster

A collection of libraries to optimize AI model performance through inference, infrastructure, and fine-tuning techniques.

ML Workspace

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