recurrent-neural-networks topic
returnn
The RWTH extensible training framework for universal recurrent neural networks
mad-twinnet
The code for the MaD TwinNet. Demo page:
course-content-dl
NMA deep learning course
Text-Classification-Models-Pytorch
Implementation of State-of-the-art Text Classification Models in Pytorch
qtrader
Reinforcement Learning for Portfolio Management
LRP_for_LSTM
Layer-wise Relevance Propagation (LRP) for LSTMs.
attention-mechanisms
Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
malware-classification
Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
iSeeBetter
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computation...
deep_learning_NLP
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP