6,623 skills found · Page 1 of 221
pjreddie / DarknetConvolutional Neural Networks
karpathy / ConvnetjsDeep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
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
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
Newmu / Dcgan CodeDeep Convolutional Generative Adversarial Networks
shelhamer / Fcn.berkeleyvision.orgFully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
kpzhang93 / MTCNN Face Detection AlignmentJoint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
meijieru / Crnn.pytorchConvolutional recurrent network in pytorch
rbgirshick / RcnnR-CNN: Regions with Convolutional Neural Network Features
666DZY666 / Micronetmicronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
