Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Programming assignments of "Sequence Models" course of deep learning specialization by Andrew Ng in Coursera
Deep Reinforcement Learning For Sequence to Sequence Models
Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
Model of deep learning libraries
Understanding and Comparing Deep Neural Networksfor Age and Gender Classification - Data and Models
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
A Code Pattern focusing on how to train a machine learning language model while using Keras and Tensorflow