Fabian Heinemann's starred repositories
anomaly-detection-in-histology
Learning image representations for anomaly detection: application to discovery of histological alterations in drug development
stain-transfer
Comparative evaluation of image-to-image translation methods for stain transfer in histopathology
deep-learning-based-quantification-of-NAFLD-NASH
Automated liver NAFLD/NASH scoring
simulated_2d_diffusion
Biophysics, Monte Carlo Simulation, Fluorescence Correlation Spectroscopy (FCS), 2D Diffusion, Reflective Mesh, c++
efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
keras-onnx
Convert tf.keras/Keras models to ONNX
Stock_Analyzer
Stock market prediction using historical data, empirically used stock signals and / or machine learning
temperature_scaling
A simple way to calibrate your neural network.
deeplearning-papernotes
Summaries and notes on Deep Learning research papers
deepaugment
Discover augmentation strategies tailored for your dataset
DCGAN-Keras
Deep Convolutional Generative Adverserial Networks
keras-dcgan
Keras implementation of Deep Convolutional Generative Adversarial Networks
DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
dcgan-completion.tensorflow
Image Completion with Deep Learning in TensorFlow
RecoverGANlatentVector
Given an image generated by a GAN it recovers its latent vector
progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
AdversarialNetsPapers
Awesome paper list with code about generative adversarial nets
anogan-keras
Unsupervised anomaly detection with generative model, keras implementation
LSTM-minimal-example
LSTM experiments for forecasting
Neural-Style-Transfer
Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Data-Analysis
Data Science Using Python
image-similarity-clustering
This project allows images to be automatically grouped into like clusters using a combination of machine learning techniques.
keras-resources
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library