fcakyon / balanced-loss

Deep learning based content moderation from text, audio, video & image input modalities.

#计算机科学#Packaged version of ultralytics/yolov5 + many extra features

#计算机科学#Image comparison slider component for Streamlit

icip2022 paper: sahi benchmark on visdrone and xview datasets using fcos, vfnet and tood detectors

#计算机科学#Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

Triplet Loss 损失函数

#计算机科学#The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

#计算机科学#A scikit-learn compatible neural network library that wraps PyTorch

A collection of loss functions for medical image segmentation

Few-shot adaptation of GANs.

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relativ...

General Multi-label Image Classification with Transformers

#计算机科学#Multi-Label Image Classification of Chest X-Rays In Pytorch

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

#计算机科学#PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

#计算机科学#A hyperparameter optimization framework

#计算机科学#Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

#计算机科学#PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Fusing-and-Filling GAN (F2GAN) for few-shot image generation, ACM MM2020

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722