Deep Learning > TensorFlow

From the basics to slightly more interesting applications of TensorFlow

Introduction to deep learning based on Google's TensorFlow framework. These tutorials are direct ports of Newmu's Theano

These tutorials are intended for beginners in Deep Learning and TensorFlow with well-documented code and YouTube videos.

TensorFlow tutorials and code examples for beginners

TensorFlow tutorials written in Python with Jupyter Notebook

Re-create the codes from other TensorFlow examples

TensorFlow compiled and running properly on the Raspberry Pi

Recurrent Neural Network classification in TensorFlow with LSTM on cellphone sensor data

Learn to use a seq2seq model on simple datasets as an introduction to the vast array of possibilities that this architecture offers

SIRDS is a means to present 3D data in a 2D image. It allows for scientific data display of a waterfall type plot with no hidden lines due to perspective.

Concise and ready-to-use TensorFlow tutorials with detailed documentation are provided.

TensorFlow howtos and best practices. Covers the basics as well as advanced topics.

A simple and well-designed template for your tensorflow project.

Implementation of Unsupervised Cross-Domain Image Generation

Attention Based Image Caption Generator

Implementation of Neural Style

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Pretty Tensor provides a high level builder API

An implementation of neural style

An implementations of AlexNet3D. Simple AlexNet model but with 3D convolutional layers (conv3d).

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

Implementation of A Neural Algorithm of Artistic Style

An attempt to implement the random handwriting generation portion of Alex Graves' paper

implementation of Neural Turing Machine

Search, filter, and describe videos based on objects, places, and other things that appear in them

This performs a monolingual translation, going from modern English to Shakespeare and vice-versa.

Implementation of "A neural conversational model"

Chatbot in 200 lines of code

Deep Convolutional Generative Adversarial Networks

Generative Adversarial Text to Image Synthesis

Unsupervised Image to Image Translation with Generative Adversarial Networks

Unpaired Image to Image Translation

Fast Compressed Sensing MRI Reconstruction

Neural Network to colorize grayscale images

Implementation of "Show, Attend and Tell"

Implementation of "Learning Deep Features for Discriminative Localization"

Implementation of "Dynamic Capacity Networks"

Implementation of viterbi and forward/backward algorithms for HMM

Train TensorFlow neural nets with OpenStreetMap features and satellite imagery.

TensorFlow implementation of DeepMind's 'Human-Level Control through Deep Reinforcement Learning' with OpenAI Gym by Devsisters.com

Asynchronous Advantage Actor Critic (A3C) for Continuous Action Space (Bipedal Walker)

For Playing Gym Torcs

For Continuous and Discrete Action Space by

TensorFlow implementation of "Training Very Deep Networks" with a blog post

TensorFlow implementation of "Hierarchical Attention Networks for Document Classification"

TensorFlow implementation of "Convolutional Neural Networks for Sentence Classification" with a blog post

Implementation of End-To-End Memory Networks

TensorFlow implementation of Character-Aware Neural Language Models

TensorFlow implementation of 'YOLO: Real-Time Object Detection', with training and an actual support for real-time running on mobile devices.

This is a TensorFlow implementation of the WaveNet generative neural network architecture for audio generation.

Tensorflow implementation of "Mnemonic Descent Method: A recurrent process applied for end-to-end face alignment"

Tensorflow implementation of "Visualizing and Understanding Convolutional Networks"

Tensorflow implementation for MIT "Generating Videos with Scene Dynamics" by Vondrick et al.

Implementation of "3D Convolutional Neural Networks for Speaker Verification application" in TensorFlow by Torfi et al.

For Brain Tumor Segmentation

Learn the Transformation Function

TensorFlow Implementation of "Cross Audio-Visual Recognition in the Wild Using Deep Learning" by Torfi et al.

Implementation of "Hierarchical Attentive Recurrent Tracking"

Implementation of Holographic Embeddings of Knowledge Graphs

Implementation of "Attend, Infer, Repeat"

A simple embedding based text classifier inspired by Facebook's fastText.

Classify music genre from a 10 second sound stream using a Neural Network.

Framework for easily using Tensorflow with Kubernetes.

40+ Popular Computer Vision Models With Pre-trained Weights.

Implementation of Ladder Network for Semi-Supervised Learning in Keras and Tensorflow

General purpose U-Network implemented in Keras for image segmentation

A long list of recent generative models implemented in clean, easy to reuse, Tensorflow 2 code (Plain Autoencoder, VAE, VQ-VAE, PixelCNN, Gated PixelCNN, PixelCNN++, PixelSNAIL, Conditional Neural Processes).

Implementation of 'YOLO : Real-Time Object Detection'

Real-time object detection on Android using the YOLO network, powered by TensorFlow.

Research project to advance the state of the art in machine intelligence for music and art generation

Implementation of Monotonic Calibrated Interpolated Look-Up Tables in TensorFlow

TensorFlow native interface for ruby using SWIG

Deep learning library featuring a higher-level API

Deep learning and reinforcement learning library for researchers and engineers

TensorFlow binding for Apache Spark

TensorForce: A TensorFlow library for applied reinforcement learning

initiative from Yahoo! to enable distributed TensorFlow with Apache Spark.

Convert Caffe models to TensorFlow format

Run Keras models (tensorflow backend) in the browser, with GPU support

Simple framework allowing to read-in ROOT NTuples by converting them to a Numpy array and then use them in Google Tensorflow.

Sonnet is DeepMind's library built on top of TensorFlow for building complex neural networks.

Neural Network Toolbox on TensorFlow focusing on training speed and on large datasets.

Layer on top of TensorFlow for doing machine learning on encrypted data

Convert PyTorch models to Keras (with TensorFlow backend) format

Convert Gluon models to Keras (with TensorFlow backend) format

Machine Learning on Graphs, a Python library for machine learning on graph-structured (network-structured) data.

High-Level Keras Complement for implement common architectures stacks, served as easy to use plug-n-play modules

TensorLayerX: A Unified Deep Learning Framework for All Hardwares, Backends and OS, including TensorFlow.

A modern C++ wrapper for TensorFlow.

Probabilistic programming built on TensorFlow that makes it easy to combine probabilistic models and deep learning on modern hardware.

Project builder command line tool for Tensorflow covering environment management, linting, and logging.

by Dr. Chris A. Mattmann, Chief Data and Artificial Intelligence Officer at UCLA and author also of Tika in Action. This book makes the math-heavy topic of AI and ML approachable and practicle to a newcomer. Updated to Tensorflow2 and the latest version of this book.

Introduction to Bayesian methods and probabilistic graphical models using tensorflow-probability (and, alternatively PyMC2/3).