pradeeplam

pradeeplam's Stars

• ocornut/imgui

  Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies

  Language:C++61k1k6k10.3k

• google/mediapipe

  Cross-platform, customizable ML solutions for live and streaming media.

  Language:C++25.6k4914.9k5k

• timzhang642/3D-Machine-Learning

  A resource repository for 3D machine learning

  9.8k604301.8k

• NVIDIA/apex

  A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

  Language:Python8.4k1001.2k1.4k

• MIC-DKFZ/nnUNet

  Language:Python5.9k762.1k1.8k

• xinario/awesome-gan-for-medical-imaging

  Awesome GAN for Medical Imaging

  2.3k1334461

• ozan-oktay/Attention-Gated-Networks

  Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

  Language:Python1.9k350423

• CSAILVision/gandissect

  Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

  Language:Python1.8k7622283

• DLTK/DLTK

  Deep Learning Toolkit for Medical Image Analysis

  Language:Python1.4k10131405

• Ha0Tang/AttentionGAN

  AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

  Language:Python647123397

• lxtGH/OctaveConv_pytorch

  Pytorch implementation of newly added convolution

  Language:Python583162588

• msight-tech/research-ms-loss

  MS-Loss: Multi-Similarity Loss for Deep Metric Learning

  Language:Python492222476

• tejaslodaya/timeseries-clustering-vae

  Variational Recurrent Autoencoder for timeseries clustering in pytorch

  Language:Python457121981

• csmliu/STGAN

  STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing

  Language:Python437155884

• tohinz/ConSinGAN

  PyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)

  Language:Python427122470

• Confusezius/Revisiting_Deep_Metric_Learning_PyTorch

  (ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.

  Language:Python34181850

• MRtrix3/mrtrix3

  MRtrix3 provides a set of tools to perform various advanced diffusion MRI analyses, including constrained spherical deconvolution (CSD), probabilistic tractography, track-density imaging, and apparent fibre density

  Language:C++293321.4k180

• otenim/GLCIC-PyTorch

  A High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".

  Language:Python28252554

• jiangtaoxie/fast-MPN-COV

  @CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact bilinear pooling etc.) for training from scratch & finetuning.

  Language:Python270132456

• ZF4444/MMAL-Net

  This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu).

  Language:Python24954457

• MIC-DKFZ/TractSeg

  Automatic White Matter Bundle Segmentation

  Language:Python2281427176

• zqs1022/interpretableCNN

  Language:MATLAB2238852

• pradeeplam/Anime-Sketch-Coloring-with-Swish-Gated-Residual-UNet

  Implementation of paper which uses a swish-gated residual U-net to color line-art anime drawings

  Language:Python209151538

• flamato/3D-computer-vision-resources

  Here is a list of 3D vision resources

  1877033

• dichotomies/proxy-nca

  PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.

  Language:Python18161933

• DeLightCMU/RSC

  This is the official implementation of Self-Challenging Improves Cross-Domain Generalization, ECCV2020

  Language:Python16082218

• iitzco/deepbrain

  Deep Learning tools for brain medical images

  Language:Python13241539

• yulu0724/SDC-IL

  Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)

  Language:Python11832034

• ApurvaMithal/Segmentation-of-MRI-brain-images-for-tumor-detection

  Language:MATLAB1610

• itaybenou/DeepTract

  Official implementation of the paper "DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography" (by Benou and Riklin-Raviv): https://arxiv.org/abs/1812.05129. Any use of this code requires a citation of the paper.

  Language:Python16325