VipVideo Platform for Action Recognition and Object Detection in Pytorch
AttentionnAll about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.
QmlIntroductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML research.
Deep Math Machine Learning.aiA blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
Knockknock🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
JaxnetConcise deep learning for JAX
NeuralLATEX: TikZ package for drawing neural networks. Also available on CTAN at http://www.ctan.org/tex-archive/graphics/pgf/contrib/neuralnetwork
AuptimizerAn automatic ML model optimization tool.
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.
Cython Blis💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!
LibraErgonomic machine learning for everyone.
IresnetImproved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
WyrmAutodifferentiation package in Rust.
GatGraph Attention Networks (https://arxiv.org/abs/1710.10903)
Go Perceptron GoA single / multi layer / recurrent neural network written in Golang.
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'
Deep CfrScalable Implementation of Deep CFR and Single Deep CFR
AvalancheAvalanche: a End-to-End Library for Continual Learning.
Capsule Net Pytorch[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
FrvsrFrame-Recurrent Video Super-Resolution (official repository)
NettackImplementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".
Ensemble PytorchA unified ensemble framework for Pytorch to improve the performance and robustness of your deep learning model
EmlearnMachine Learning inference engine for Microcontrollers and Embedded devices
Kitnet PyKitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
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.
Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
Ai BlocksA powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!
Gluon TsProbabilistic time series modeling in Python
Textfeatures👷♂️ A simple package for extracting useful features from character objects 👷♀️
100daysofmlcodeMy journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.
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"
Enhancenet CodeEnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)
LacmusLacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
AlgorithmsA collection of common algorithms and data structures implemented in java, c++, and python.
Glcic PytorchA High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".
BenderEasily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
Remo Python🐰 Python lib for remo - the app for annotations and images management in Computer Vision
Brain BitsA P300 online spelling mechanism for Emotiv headsets. It's completely written in Node.js, and the GUI is based on Electron and Vue.
PadasipPython Adaptive Signal Processing
PaddlexPaddlePaddle End-to-End Development Toolkit(『飞桨』深度学习全流程开发工具)
BnafPytorch implementation of Block Neural Autoregressive Flow
FlowppCode for reproducing Flow ++ experiments
NcrfppNCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
Pytorch 101 Tutorial SeriesPyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.
Ml AgentsUnity Machine Learning Agents Toolkit
Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
Ed4Computational Cognitive Neuroscience, Fourth Edition
DnwDiscovering Neural Wirings (https://arxiv.org/abs/1906.00586)
Hep mlMachine Learning for High Energy Physics.