Aaltd18Data augmentation using synthetic data for time series classification with deep residual networks
Stars: ✭ 124 (+25.25%)
TorchioMedical image preprocessing and augmentation toolkit for deep learning
Stars: ✭ 708 (+615.15%)
All Conv KerasAll Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras
Stars: ✭ 115 (+16.16%)
DeepconvsepDeep Convolutional Neural Networks for Musical Source Separation
Stars: ✭ 424 (+328.28%)
PbaEfficient Learning of Augmentation Policy Schedules
Stars: ✭ 461 (+365.66%)
All Classifiers 2019A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
Stars: ✭ 22 (-77.78%)
TnnBiologically-realistic recurrent convolutional neural networks
Stars: ✭ 83 (-16.16%)
Attention Gated NetworksUse of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Stars: ✭ 1,237 (+1149.49%)
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.
Stars: ✭ 92 (-7.07%)
Malware ClassificationTowards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
Stars: ✭ 88 (-11.11%)
Elektronn3A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data
Stars: ✭ 78 (-21.21%)
Pynq DlXilinx Deep Learning IP
Stars: ✭ 84 (-15.15%)
Fast AutoaugmentOfficial Implementation of 'Fast AutoAugment' in PyTorch.
Stars: ✭ 1,297 (+1210.1%)
Fashion MnistA MNIST-like fashion product database. Benchmark 👇
Stars: ✭ 9,675 (+9672.73%)
Recursive CnnsImplementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."
Stars: ✭ 80 (-19.19%)
Capsnet PytorchMy attempt at implementing CapsNet from the paper Dynamic Routing Between Capsules
Stars: ✭ 87 (-12.12%)
Quicknat pytorchPyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
Stars: ✭ 74 (-25.25%)
Core50CORe50: a new Dataset and Benchmark for Continual Learning
Stars: ✭ 91 (-8.08%)
Niftynet[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Stars: ✭ 1,276 (+1188.89%)
Image Quality AssessmentConvolutional Neural Networks to predict the aesthetic and technical quality of images.
Stars: ✭ 1,300 (+1213.13%)
Pose Adv AugCode for "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation" (CVPR 2018)
Stars: ✭ 83 (-16.16%)
KerasrR interface to the keras library
Stars: ✭ 90 (-9.09%)
Facial Expression RecognitionClassify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge
Stars: ✭ 82 (-17.17%)
TextattackTextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP
Stars: ✭ 1,291 (+1204.04%)
DpedSoftware and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
Stars: ✭ 1,315 (+1228.28%)
EmnistA project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.
Stars: ✭ 81 (-18.18%)
Wb color augmenterWB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].
Stars: ✭ 89 (-10.1%)
SeranetSuper Resolution of picture images using deep learning
Stars: ✭ 79 (-20.2%)
Bayesian cnnBayes by Backprop implemented in a CNN in PyTorch
Stars: ✭ 98 (-1.01%)
Wav2letterSpeech Recognition model based off of FAIR research paper built using Pytorch.
Stars: ✭ 78 (-21.21%)
GrandSource code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"
Stars: ✭ 75 (-24.24%)
Incremental LearningPytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
Stars: ✭ 92 (-7.07%)
Age Gender EstimationKeras implementation of a CNN network for age and gender estimation
Stars: ✭ 1,195 (+1107.07%)
Pedestrian Synthesis GanPedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond
Stars: ✭ 73 (-26.26%)
CnniqaCVPR2014-Convolutional neural networks for no-reference image quality assessment
Stars: ✭ 96 (-3.03%)
Cnn Interpretability🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
Stars: ✭ 68 (-31.31%)
Equivariant Transformers Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399
Stars: ✭ 68 (-31.31%)
Graph 2d cnnCode and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
Stars: ✭ 67 (-32.32%)