Package for Multimodal Autoencoders in TensorFlow / Keras
GPL-3.0 License
Provide an input CSV and a target field to predict, generate a model + code to run it.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g...
A curated list of dedicated resources and applications
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/impleme...
[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresp...
Attempt at implementation of a simple GAN using Keras
Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS...
Tensorflow/Keras implementation of Assumed Density Filtering (ADF) based probabilistic neural net...
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
Advanced Deep Learning with Keras, published by Packt
Standard and Hybrid Deep Learning Multivariate-Multi-Step & Univariate-Multi-Step Time Series For...
Header-only library for using Keras (TensorFlow) models in C++.
A collection of computer vision pre-trained models.
Deep learning codes and projects using Python
Korean translation of the Keras documentation.