Protein order and disorder data for Keras, Tensor Flow and Edward frameworks with automated update cycle made for continuous learning applications.
AGPL-3.0 License
Implementation of DreamBooth in KerasCV and TensorFlow.
AutoML library for deep learning
📃🎉 Additional datasets for tensorflow.keras
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Ne...
Machine learning on FPGAs using HLS
Sandbox for training deep learning networks
Protein Secondary Structure predictor using Convolutional Neural Networks
Industry-strength Computer Vision workflows with Keras
A Python package for adding uncertainties to neural network models of chemical systems.
A curated list of dedicated resources and applications
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacec...
Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations,...
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Ka...
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g...