Curated Tensorflow code resources to help you get started

Caffe2 is a lightweight, modular, and scalable deep learning framework.

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

A general-purpose encoder-decoder framework for Tensorflow

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

Oxford Deep NLP 2017 course

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

TensorFlow implementation of Deep Reinforcement Learning papers

Convolutional Neural Networks

Models built with TensorFlow

TensorLayer: Deep Learning and Reinforcement Learning Library for Researcher and Engineer.

header only, dependency-free deep learning framework in C++11

Deep learning library featuring a higher-level API for TensorFlow.

Faster-RCNN in Tensorflow

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Deep Reinforcement Learning for Keras.

The classical papers and codes about generative adversarial nets

Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs

Learning to Learn in TensorFlow

TensorFlow Tutorial and Examples for beginners