9,048 skills found · Page 1 of 302
pjreddie / DarknetConvolutional Neural Networks
vdumoulin / Conv ArithmeticA technical report on convolution arithmetic in the context of deep learning
xmu-xiaoma666 / External Attention Pytorch🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
qubvel-org / Segmentation Models.pytorchSemantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
karpathy / ConvnetjsDeep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
advimman / Lama🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
poloclub / Cnn ExplainerLearning Convolutional Neural Networks with Interactive Visualization.
utkuozbulak / Pytorch Cnn VisualizationsPytorch implementation of convolutional neural network visualization techniques
tkipf / GcnImplementation of Graph Convolutional Networks in TensorFlow
carpedm20 / DCGAN TensorflowA tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
dennybritz / Cnn Text Classification TfConvolutional Neural Network for Text Classification in Tensorflow
borisbanushev / StockpredictionaiIn this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
tkipf / PygcnGraph Convolutional Networks in PyTorch
dbolya / YolactA simple, fully convolutional model for real-time instance segmentation.
liuzhuang13 / DenseNetDensely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
locuslab / TCNSequence modeling benchmarks and temporal convolutional networks
amanchadha / 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
msracver / Deformable ConvNetsDeformable Convolutional Networks
quark0 / DartsDifferentiable architecture search for convolutional and recurrent networks
rasmusbergpalm / DeepLearnToolboxMatlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
