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TorchioMedical image preprocessing and augmentation toolkit for deep learning
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Cutmixa Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
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DeepconvsepDeep Convolutional Neural Networks for Musical Source Separation
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PbaEfficient Learning of Augmentation Policy Schedules
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All Classifiers 2019A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
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GhostnetCV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.
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DeepgazeComputer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
Stars: ✭ 1,552 (+1151.61%)
Idn CaffeCaffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
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DeepwayThis project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.
Stars: ✭ 118 (-4.84%)
Rul NetDeep learning approach for estimation of Remaining Useful Life (RUL) of an engine
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LsuvinitReference caffe implementation of LSUV initialization
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Food101 CoremlA CoreML model which classifies images of food
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Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
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Sigver wiwdLearned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.
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Antialiased Cnnspip install antialiased-cnns to improve stability and accuracy
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DrlnDensely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020
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Bayesian cnnBayes by Backprop implemented in a CNN in PyTorch
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CnniqaCVPR2014-Convolutional neural networks for no-reference image quality assessment
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GrenadeDeep Learning in Haskell
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PythonmlArtificial neural network classes and tools in Python and TensorFlow.
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Ti PoolingTI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks
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Cinc Challenge2017ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)
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Fcn trainThe code includes all the file that you need in the training stage for FCN
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Pytorch Dc TtsText to Speech with PyTorch (English and Mongolian)
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Wav2letter.pytorchA fully convolution-network for speech-to-text, built on pytorch.
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Top Deep Learning Top 200 deep learning Github repositories sorted by the number of stars.
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ConvncfExperimental codes for paper "Outer Product-based Neural Collaborative Filtering".
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YnetY-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images
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Shiftresnet CifarResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch
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HyperdensenetThis repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
Stars: ✭ 124 (+0%)
AwslambdafacePerform deep neural network based face detection and recognition in the cloud (via AWS lambda) with zero model configuration or tuning.
Stars: ✭ 98 (-20.97%)
Cs231n Convolutional Neural Networks SolutionsAssignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
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Har Keras CnnHuman Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
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Style TransferA Keras Implementation of "A Neural Algorithm of Artistic Style"
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DensepointDensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)
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Facedet实现常用基于深度学习的人脸检测算法
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DpedSoftware and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
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ProjectaiaiAiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet.
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What I Have ReadPaper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers
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Incremental LearningPytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
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Core50CORe50: a new Dataset and Benchmark for Continual Learning
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DeepecgECG classification programs based on ML/DL methods
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