Brasiletto

Brasiletto's Stars

• sail-sg/poolformer

  PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

  Language:Python1.3k117

• BestJuly/IIC

  Official implementation of ACMMM'20 paper 'Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework'

  Language:Python11013

• piergiaj/pytorch-i3d

  Language:Python989252

• kylemin/S3D

  Release of the pretrained S3D Network in PyTorch (ECCV 2018)

  Language:Python12822

• kiyoon/PyVideoAI

  PyTorch-based Ultimate Deep Learning Research Tool focusing on Video Action Recognition

  Language:Python241

• microsoft/computervision-recipes

  Best Practices, code samples, and documentation for Computer Vision.

  Language:Jupyter Notebook9.6k1.2k

• zhanghang1989/ResNeSt

  ResNeSt: Split-Attention Networks

  Language:Python3.2k495

• Visual-Attention-Network/VAN-Classification

  Language:Python81587

• lucidrains/bottleneck-transformer-pytorch

  Implementation of Bottleneck Transformer in Pytorch

  Language:Python67582

• houqb/CoordAttention

  Code for our CVPR2021 paper coordinate attention

  Language:Python1k123

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.6k1.9k

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python16.4k7k

• mit-han-lab/temporal-shift-module

  [ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

  Language:Python2.1k416

• kumar-shridhar/PyTorch-BayesianCNN

  Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

  Language:Python1.5k325

• open-mmlab/mmaction2

  OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

  Language:Python4.4k1.3k

• hanskrupakar/3D-UNet-pytorch

  An implementation of 3D U-Net CNN models for the task of voxel-wise semantic segmentation of 3D MR images for isolation of Low-Grade and High Grade Gliomas, the common types of brain tumour.

  Language:Python4211

• nish03/FMIVis

  Code for ISBI 2020 paper "Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas"

  Language:MATLAB51

• sergiormpereira/brain_tumor_grading

  Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment

  Language:Python42

• enochkan/vox2vox

  3D volume-to-volume generative adversarial network for medical image segmentation

  Language:Python5716

• woodywff/nas_3d_unet

  Neural Architecture Search for Gliomas Segmentation on Multimodal Magnetic Resonance Imaging

  Language:Python216

• mateuszbuda/brain-segmentation-pytorch

  U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI

  Language:Python733185

• lachinov/brats2018-graphlabunn

  Language:Python128

• gevaertlab/MultimodalPrognosis

  Deep Learning with Multimodal Representation for Pancancer Prognosis Prediction

  Language:Python8225

• zhangxiaoyu11/OmiVAE

  End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.

  Language:Python3120

• BeautyOfWeb/ANF

  Affinity Network Fusion

  Language:R71

• ehsanhajiramezanali/BayReL

  Language:Python92

• chl8856/DeepIMV

  A Variational Information Bottleneck Approach to Multi-Omics Data Integration

  Language:Jupyter Notebook2212

• zhangxiaoyu11/OmiEmbed

  Multi-task deep learning framework for multi-omics data analysis

  Language:Python4020

• GuanLab/Brain_Glioma

  Documentation for the 2018 BraTS competition

  Language:Python153

• bubbliiiing/yolov4-keras

  这是一个YoloV4-keras的源码，可以用于训练自己的模型。

  Language:Python490183