An implementation of a deep learning recommendation model (DLRM)
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.
Chainer implementation of Deepmind's Visual Attention Model paper
Model analysis tools for TensorFlow
A TensorFlow implementation of the recurrent models of visual attention
Implementation of AlexNet with Tensorflow
How to train your own word2vec model for use with ml5.js
A collection of deep learning models implemented in PyTorch
A suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
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