MCastroFernandez

MCastroFernandez's Stars

• yhlleo/GAN-Metrics

  A collection of metrics for evaluating GAN models.

  Language:Python556

• aidotse/stylegan2-ada-pytorch

  StyleGAN2-ADA for generation of synthetic skin lesions

  Language:Python103

• manicman1999/StyleGAN2-Tensorflow-2.0

  StyleGAN 2 in Tensorflow 2.0

  Language:Python485112

• moono/stylegan2-tf-2.x

  stylegan2, tensorflow 2, keras subclassing

  Language:Python10429

• akanimax/BMSG-GAN

  [MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation

  Language:Python629105

• akanimax/msg-stylegan-tf

  MSG StyleGAN in tensorflow

  Language:Python26357

• znxlwm/pytorch-MNIST-CelebA-cGAN-cDCGAN

  Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

  Language:Python490127

• togheppi/cDCGAN

  PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

  Language:Python6719

• NVlabs/stylegan2-ada-pytorch

  StyleGAN2-ADA - Official PyTorch implementation

  Language:Python4.1k1.2k

• NVlabs/stylegan3

  Official PyTorch implementation of StyleGAN3

  Language:Python6.4k1.1k

• antorguez95/synthetic_data_generation_framework

  This repository contains the code of our published work in IEEE JBHI. Our main objective was to demonstrate the feasibility of the use of synthetic data to effectively train Machine Learning algorithms, prooving that it benefits classification performance most of the times.

  Language:Python51

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.5k4.1k

• mattgroh/fitzpatrick17k

  Language:Jupyter Notebook9020

• makcedward/nlpaug

  Data augmentation for NLP

  Language:Jupyter Notebook4.5k463

• prakashpandey9/Text-Classification-Pytorch

  Text classification using deep learning models in Pytorch

  Language:Python809239

• facebookresearch/Detectron

  FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

  Language:Python26.3k5.5k

• jeremykawahara/derm7pt

  Dermatology dataset composed of a diagnosis and seven-point checklist criteria labels

  Language:Jupyter Notebook7115

• harrisonjansma/Research-Computer-Vision

  Implementations of computer vision concepts.

  Language:Jupyter Notebook5118

• mdbloice/Augmentor

  Image augmentation library in Python for machine learning.

  Language:Python5.1k866

• mmu-dermatology-research/isic_duplicate_removal_strategy

  Instructions for the removal of duplicate image files from within individual ISIC datasets and across all ISIC datasets.

  Language:Python202

• vdumoulin/conv_arithmetic

  A technical report on convolution arithmetic in the context of deep learning

  Language:TeX14.1k2.3k

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.3k4.8k

• xpwu95/SPBL_Pytorch

  PyTorch implementation of "Self-Paced Balance Learning for Clinical Skin Disease Recognition"

  Language:Python4914

• houqb/CoordAttention

  Code for our CVPR2021 paper coordinate attention

  Language:Python1k123

• kuan-wang/pytorch-mobilenet-v3

  MobileNetV3 in pytorch and ImageNet pretrained models

  Language:Python779188

• d-li14/mobilenetv3.pytorch

  74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet

  Language:Python521125

• Yuvrajchopra25/Project-8-Image-Segmentation-using-Sklearn-and-K-Means

  Project idea - Image segmentation is an important step in image processing, and it seems everywhere if we want to analyze what’s inside the image.

  Language:Jupyter Notebook710

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.2k45.8k

• dipaco/superpixel-skin-lesion-segmentation

  This repository contains the necesary code to reproduce the results of the paper Automatic Skin Lesion Segmentation on Dermoscopic Images by the Means of Superpixel Merging presented in the conference MICCAI 2018.

  Language:Python8

• dipaco/mole-classification

  A project to visually classify images of skin moles

  Language:Jupyter Notebook10