Chainer Cifar10Various CNN models for CIFAR10 with Chainer
Stars: ✭ 134 (-31.63%)
HyperdensenetThis repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
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Skin Lesions Classification DCNNsTransfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
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Meme GeneratorMemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.
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IresnetImproved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
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AttentionnAll about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.
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Emotion Recognition Using SpeechBuilding and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
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Deep CfrScalable Implementation of Deep CFR and Single Deep CFR
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Deep SpyingSpying using Smartwatch and Deep Learning
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NettackImplementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".
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Cython Blis💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!
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Sota CvA repository of state-of-the-art deep learning methods in computer vision
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NeurolibEasy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
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Tensorflow Vgg16 Train And TestThe purpose of this program is for studying. Using tensorflow trains the vgg16 and recognizes only two kinds of picture(cat and dog).
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Capsule Net Pytorch[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
Stars: ✭ 158 (-19.39%)
Ensemble PytorchA unified ensemble framework for Pytorch to improve the performance and robustness of your deep learning model
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JaxnetConcise deep learning for JAX
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Kitnet PyKitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
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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 (-22.45%)
NeuralLATEX: TikZ package for drawing neural networks. Also available on CTAN at http://www.ctan.org/tex-archive/graphics/pgf/contrib/neuralnetwork
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Ml Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
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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.
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BmtkBrain Modeling Toolkit
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LibraErgonomic machine learning for everyone.
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Mem absaAspect Based Sentiment Analysis using End-to-End Memory Networks
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WyrmAutodifferentiation package in Rust.
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VipVideo Platform for Action Recognition and Object Detection in Pytorch
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GatGraph Attention Networks (https://arxiv.org/abs/1710.10903)
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Coursera Deep Learning SpecializationNotes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
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Go Perceptron GoA single / multi layer / recurrent neural network written in Golang.
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QmlIntroductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML research.
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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'
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Anime4kA High-Quality Real Time Upscaler for Anime Video
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AvalancheAvalanche: a End-to-End Library for Continual Learning.
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Deep Math Machine Learning.aiA blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
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FrvsrFrame-Recurrent Video Super-Resolution (official repository)
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VectoraiVector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
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Knockknock🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
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EmlearnMachine Learning inference engine for Microcontrollers and Embedded devices
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PywarmA cleaner way to build neural networks for PyTorch.
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Dsfd.pytorchDSFD implement with pytorch
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Shape Detection🟣 Object detection of abstract shapes with neural networks
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Ai BlocksA powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!
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Ssd TensorflowA Single Shot MultiBox Detector in TensorFlow
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Gluon TsProbabilistic time series modeling in Python
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Eeg DlA Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
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Pytorch Cifar100Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
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AuptimizerAn automatic ML model optimization tool.
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Textfeatures👷♂️ A simple package for extracting useful features from character objects 👷♀️
Stars: ✭ 148 (-24.49%)