A collection of computer vision pre-trained models.
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Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
- seq2seq
- tensorflow
- tensorflow-tutorials
- python
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
- tensorflow
- tensorflow-tutorials
- mnist-classification
- mnist
A neural network Swift playground, with no third party dependencies.
- wwdc-scholarship
- computer-vision
- neural-network
- swift-playgrounds
A list of Neural MT implementations
- nmt
- mt
- neural-machine-translation
- machine-translation
Awesome list of software that I use to do research in medical imaging.
Neural machine translation between the writings of Shakespeare and modern English using TensorFlow
- tensorflow
- shakespeare
- seq2seq
- neural-machine-translation
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
- tensorflow-2
- tensorflow-lite
- on-device-ml
- model-quantization
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
- hyperopt
- hyperparameter-optimization
- hyperparameter-tuning
- hyperparameters-optimization
Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
- ddi
- drug-synergy
- synergy-prediction
- deep-chemistry
Address book for computer vision models.
- opencv
- open-source
- deep-neural-networks
- tensorflow
Speed up your Neural Network with Theano and the GPU
A Swift PlaygroundBook about Neural Networks
- wwdc19
- wwdc-scholarship
- machine-learning
- playgroundbook
Example of creating and using a Neural Network in Ruby
- rubyml