Cnn Interpretability🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
Stars: ✭ 68 (+23.64%)
NmtpytorchSequence-to-Sequence Framework in PyTorch
Stars: ✭ 392 (+612.73%)
TsaiTime series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai
Stars: ✭ 407 (+640%)
ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Stars: ✭ 194 (+252.73%)
Screenshot To CodeA neural network that transforms a design mock-up into a static website.
Stars: ✭ 13,561 (+24556.36%)
Image CaptioningImage Captioning using InceptionV3 and beam search
Stars: ✭ 290 (+427.27%)
Numpy neural network仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层;以及图像分类案例及精调网络案例等,持续更新中... ...
Stars: ✭ 339 (+516.36%)
Tensorflow TutorialSome interesting TensorFlow tutorials for beginners.
Stars: ✭ 893 (+1523.64%)
Deeplearning深度学习入门教程, 优秀文章, Deep Learning Tutorial
Stars: ✭ 6,783 (+12232.73%)
ServenetService Classification based on Service Description
Stars: ✭ 21 (-61.82%)
Keraspp코딩셰프의 3분 딥러닝, 케라스맛
Stars: ✭ 178 (+223.64%)
FacetHuman-explainable AI.
Stars: ✭ 269 (+389.09%)
TcdfTemporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
Stars: ✭ 217 (+294.55%)
Music recommenderMusic recommender using deep learning with Keras and TensorFlow
Stars: ✭ 528 (+860%)
Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Stars: ✭ 543 (+887.27%)
Dl Colab NotebooksTry out deep learning models online on Google Colab
Stars: ✭ 969 (+1661.82%)
YannThis toolbox is support material for the book on CNN (http://www.convolution.network).
Stars: ✭ 41 (-25.45%)
ShapA game theoretic approach to explain the output of any machine learning model.
Stars: ✭ 14,917 (+27021.82%)
Dgc NetA PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"
Stars: ✭ 159 (+189.09%)
Cnn Re TfConvolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow
Stars: ✭ 190 (+245.45%)
Visualizing cnnsUsing Keras and cats to visualize layers from CNNs
Stars: ✭ 143 (+160%)
Pratik Derin Ogrenme UygulamalariÇeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.
Stars: ✭ 200 (+263.64%)
ExplainxExplainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.
Stars: ✭ 196 (+256.36%)
Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
Stars: ✭ 139 (+152.73%)
Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+5734.55%)
Pytorch Image ClassificationTutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Stars: ✭ 272 (+394.55%)
Fast PytorchPytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
Stars: ✭ 346 (+529.09%)
Pytorch classification利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
Stars: ✭ 395 (+618.18%)
Visual AttributionPytorch Implementation of recent visual attribution methods for model interpretability
Stars: ✭ 127 (+130.91%)
Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
Stars: ✭ 448 (+714.55%)
D2 NetD2-Net: A Trainable CNN for Joint Description and Detection of Local Features
Stars: ✭ 448 (+714.55%)
Interpretable machine learning with pythonExamples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Stars: ✭ 530 (+863.64%)
TcavCode for the TCAV ML interpretability project
Stars: ✭ 442 (+703.64%)
FlashtorchVisualization toolkit for neural networks in PyTorch! Demo -->
Stars: ✭ 561 (+920%)
Neural Image CaptioningImplementation of Neural Image Captioning model using Keras with Theano backend
Stars: ✭ 12 (-78.18%)
LucidA collection of infrastructure and tools for research in neural network interpretability.
Stars: ✭ 4,344 (+7798.18%)
Gaze EstimationA deep learning based gaze estimation framework implemented with PyTorch
Stars: ✭ 33 (-40%)
Qa RankitQA - Answer Selection (Rank candidate answers for a given question)
Stars: ✭ 30 (-45.45%)
Pytorch SiftPyTorch implementation of SIFT descriptor
Stars: ✭ 123 (+123.64%)
Mli ResourcesH2O.ai Machine Learning Interpretability Resources
Stars: ✭ 428 (+678.18%)
Symbolic MetamodelingCodebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.
Stars: ✭ 29 (-47.27%)
Svhn CnnGoogle Street View House Number(SVHN) Dataset, and classifying them through CNN
Stars: ✭ 44 (-20%)