rafalcycon

analog-watch-recognition

Reading time from analog clocks

keras_detection

SKU110K_CVPR19

generic-sku-detection-benchmark

Benchmark and Leaderboard for Generic SKU Detection

pnn.pytorch.update

This repo houses the new PNN code, along with our responses to the issue raised in the recent Reddit discussion. The code is based on Michael Klachko’s repo with slight modification in model.py and main.py. All changes are marked.

progressive_infogan

Progressive training of GANs with Mutual Information Penalty

2018-MachineLearning-Lectures-ESA

Machine Learning Lectures at the European Space Agency (ESA) in 2018

deep-learning-notes

Experiments with Deep Learning

receptivefield

Gradient based receptive field estimation for Convolutional Neural Networks

imgaug

Image augmentation for machine learning experiments.

models

Models and examples built with TensorFlow

moabb

Mother of All BCI Benchmarks

deep-photo-styletransfer

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

kaggle-seizure-prediction-challenge-2016

Code and documentation for the winning solution to the Melbourne University AES/MathWorks/NIH Seizure Prediction challenge on kaggle

neural-enhance

Super Resolution for images using deep learning.

Mars-Express-Challenge

3rd place solution to the Mars Express Power Challenge hosted by the European Space Agency

mars_express__esn

Tackling ESA's Mars Express Power Challenge with Echo State Networks

mars-express

Mars Express machine learning competition

kelvin-power-challenge

4th place solution of ESA Kelvin Mars Explorer Power Challenge

decoding-brain-challenge-2016

Code and documentation for the winning solution to the Decoding Brain Signals Cortana challenge

torch7

http://torch.ch

neural-storyteller

A recurrent neural network for generating little stories about images

mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

nolearn

Combines the ease of use of scikit-learn with the power of Theano/Lasagne

Lasagne

Lightweight library to build and train neural networks in Theano

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

keras

Deep Learning for humans

kaggle_grasp_and_lift_eeg_detection

Code for Team HEDJs submission for Kaggle's Grasp and Lift EEG Detection Contest

kaggle_EEG