TensorFlow implementation of a Neural Turing Machine
"Neural Turing Machine" in Tensorflow
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in ...
The deeplearning algorithms implemented by tensorflow
Handwritten recognition with slice+cnn+lstm/multidimentional lstm/cnn+lstm
Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models.
Implementations of CNNs, RNNs, GANs, etc
Some interesting TensorFlow tutorials for beginners.
🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural net...
Mesh TensorFlow: Model Parallelism Made Easier
The RWTH extensible training framework for universal recurrent neural networks
TensorFlow implementation of Deep Reinforcement Learning papers
🙄 Difficult algorithm, Simple code.
A curated list of dedicated resources and applications
Application of Connectionist Temporal Classification (CTC) for Speech Recognition (Tensorflow 1.0...