BmtkBrain Modeling Toolkit
Stars: ✭ 177 (-5.85%)
NengoA Python library for creating and simulating large-scale brain models
Stars: ✭ 615 (+227.13%)
AvalancheAvalanche: a End-to-End Library for Continual Learning.
Stars: ✭ 151 (-19.68%)
BrainflowBrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
Stars: ✭ 170 (-9.57%)
CryptonetsCryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic Encryptions and its applications). This project demonstrates the use of Homomorphic Encryption for outsourcing neural-network predictions. The scenario in mind is a provider that would like to provide Prediction as a Service (PaaS) but the data for which predictions are needed may be private. This may be the case in fields such as health or finance. By using CryptoNets, the user of the service can encrypt their data using Homomorphic Encryption and send only the encrypted message to the service provider. Since Homomorphic Encryptions allow the provider to operate on the data while it is encrypted, the provider can make predictions using a pre-trained Neural-Network while the data remains encrypted throughout the process and finaly send the prediction to the user who can decrypt the results. During the process the service provider does not learn anything about the data that was used, the prediction that was made or any intermediate result since everything is encrypted throughout the process. This project uses the Simple Encrypted Arithmetic Library SEAL version 3.2.1 implementation of Homomorphic Encryption developed in Microsoft Research.
Stars: ✭ 152 (-19.15%)
Emotion Recognition Using SpeechBuilding and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Stars: ✭ 159 (-15.43%)
Knockknock🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
Stars: ✭ 2,304 (+1125.53%)
Ensemble PytorchA unified ensemble framework for Pytorch to improve the performance and robustness of your deep learning model
Stars: ✭ 153 (-18.62%)
AttentionnAll about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.
Stars: ✭ 175 (-6.91%)
Gluon TsProbabilistic time series modeling in Python
Stars: ✭ 2,373 (+1162.23%)
Autograd.jlJulia port of the Python autograd package.
Stars: ✭ 147 (-21.81%)
FooofParameterizing neural power spectra into periodic & aperiodic components.
Stars: ✭ 162 (-13.83%)
Deep Math Machine Learning.aiA blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
Stars: ✭ 173 (-7.98%)
Gan MriCode repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'
Stars: ✭ 159 (-15.43%)
Sota CvA repository of state-of-the-art deep learning methods in computer vision
Stars: ✭ 176 (-6.38%)
FrvsrFrame-Recurrent Video Super-Resolution (official repository)
Stars: ✭ 157 (-16.49%)
JaxnetConcise deep learning for JAX
Stars: ✭ 171 (-9.04%)
Kitnet PyKitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
Stars: ✭ 152 (-19.15%)
Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+1143.09%)
AuptimizerAn automatic ML model optimization tool.
Stars: ✭ 166 (-11.7%)
KilosortFast spike sorting with drift correction for up to a thousand channels
Stars: ✭ 148 (-21.28%)
Cython Blis💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!
Stars: ✭ 165 (-12.23%)
BluepyoptBlue Brain Python Optimisation Library
Stars: ✭ 143 (-23.94%)
WyrmAutodifferentiation package in Rust.
Stars: ✭ 164 (-12.77%)
VisbrainA multi-purpose GPU-accelerated open-source suite for brain data visualization
Stars: ✭ 172 (-8.51%)
GatGraph Attention Networks (https://arxiv.org/abs/1710.10903)
Stars: ✭ 2,229 (+1085.64%)
Go Perceptron GoA single / multi layer / recurrent neural network written in Golang.
Stars: ✭ 159 (-15.43%)
Deep SpyingSpying using Smartwatch and Deep Learning
Stars: ✭ 172 (-8.51%)
Deep CfrScalable Implementation of Deep CFR and Single Deep CFR
Stars: ✭ 158 (-15.96%)
Brainrendera python based software for visualization of neuroanatomical and morphological data.
Stars: ✭ 183 (-2.66%)
Capsule Net Pytorch[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
Stars: ✭ 158 (-15.96%)
EegruntA Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse
Stars: ✭ 171 (-9.04%)
NettackImplementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".
Stars: ✭ 156 (-17.02%)
VipVideo Platform for Action Recognition and Object Detection in Pytorch
Stars: ✭ 175 (-6.91%)
EmlearnMachine Learning inference engine for Microcontrollers and Embedded devices
Stars: ✭ 154 (-18.09%)
Shape Detection🟣 Object detection of abstract shapes with neural networks
Stars: ✭ 170 (-9.57%)
Suite2pcell detection in calcium imaging recordings
Stars: ✭ 153 (-18.62%)
NeuralLATEX: TikZ package for drawing neural networks. Also available on CTAN at http://www.ctan.org/tex-archive/graphics/pgf/contrib/neuralnetwork
Stars: ✭ 169 (-10.11%)
Ai BlocksA powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!
Stars: ✭ 1,818 (+867.02%)
QmlIntroductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML research.
Stars: ✭ 174 (-7.45%)
Textfeatures👷♂️ A simple package for extracting useful features from character objects 👷♀️
Stars: ✭ 148 (-21.28%)
ErplabERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides enormous power for intermediate and advanced users.
Stars: ✭ 166 (-11.7%)
Merlin.jlDeep Learning for Julia
Stars: ✭ 147 (-21.81%)
100daysofmlcodeMy journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.
Stars: ✭ 146 (-22.34%)
FixyAmacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.
Stars: ✭ 165 (-12.23%)
Uncertainty MetricsAn easy-to-use interface for measuring uncertainty and robustness.
Stars: ✭ 145 (-22.87%)
DvidDistributed, Versioned, Image-oriented Dataservice
Stars: ✭ 174 (-7.45%)
LivianetThis repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"
Stars: ✭ 143 (-23.94%)
LibraErgonomic machine learning for everyone.
Stars: ✭ 1,925 (+923.94%)
Anime4kA High-Quality Real Time Upscaler for Anime Video
Stars: ✭ 14,083 (+7390.96%)
PywarmA cleaner way to build neural networks for PyTorch.
Stars: ✭ 184 (-2.13%)
KekasJust another DL library
Stars: ✭ 178 (-5.32%)
OpensesameGraphical experiment builder for the social sciences
Stars: ✭ 173 (-7.98%)