Georgios Zoumpourlis's repositories
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
AdvBox
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
audio
Data manipulation and transformation for audio signal processing, powered by PyTorch
Augmentor
Image augmentation library in Python for machine learning.
awesome-bci
Curated Collection of BCI resources
bctpy
brain connectivity toolbox for python
Chatistics
💬 Python scripts to parse your Messenger, Hangouts, WhatsApp and Telegram chat logs into DataFrames.
CREMA-D
Crowd Sourced Emotional Multimodal Actors Dataset (CREMA-D)
EEG-Datasets
A list of all public EEG-datasets
HParams
A thoughtful approach to hyperparameter management.
HungaBunga
HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
ICLabel
Automatic EEG IC classification plugin for EEGLAB
kornia
Open Source Differentiable Computer Vision Library for PyTorch
LIBTwinSVM
A Library for Twin Support Vector Machines
mir-datasets
Simple collection of MIR datasets with metadata and links
mne_pratical_meeg
Materials for MNE tutorials at Practical MEEG workshop Paris 2019
musicnn
Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.
phy
phy: interactive visualization and manual spike sorting of large-scale ephys data
PMEmo
PMEmo: A Dataset For Music Emotion Computing
pycm
Multi-class confusion matrix library in Python
python_speech_features
This library provides common speech features for ASR including MFCCs and filterbank energies.
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
PytorchInsight
a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
robustness
A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
SpecAugment
A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain
torchgan
Research Framework for easy and efficient training of GANs based on Pytorch