jaccardSegment
Jaccard loss framework
A deep learning framework implementing Deeplab-resnet-101 with binary Jaccard loss surrogate, based on the Lovász hinge loss.
Deeplab-resnet-101 in Pytorch with Jaccard loss
97 stars
8 watching
21 forks
Language: Python
last commit: over 7 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
hanxunh/active-passive-losses | A PyTorch-based framework for implementing normalized loss functions to improve deep learning model robustness against noisy labels. | 134 |
giorgiop/loss-correction | Provides a framework for implementing robust loss functions to mitigate the effects of label noise in deep neural networks. | 88 |
coincheung/pytorch-loss | Provides a comprehensive set of implementation of various loss functions and operators for deep learning models | 2,181 |
hannes-brt/hebel | A deep learning library that provides GPU acceleration and various neural network models and training methods. | 1,169 |
mblondel/fenchel-young-losses | Provides Fenchel-Young losses for probabilistic classification in PyTorch/TensorFlow/scikit-learn. | 183 |
alanchou/truncated-loss | An implementation of a loss function designed to improve the training of deep neural networks with noisy labels | 125 |
mop/bier | This project implements a deep metric learning framework using an adversarial auxiliary loss to improve robustness. | 39 |
isht7/pytorch-deeplab-resnet | A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks. | 602 |
hjmshi/pytorch-lbfgs | A PyTorch implementation of L-BFGS optimization algorithm for training neural networks | 586 |
princetonvision/marvin | A minimalistic GPU-only framework for building N-dimensional ConvNet neural networks | 421 |
jbarrow/lambdanet | An artificial neural network library for rapid prototyping and extension in Haskell. | 377 |
jankrepl/deepdow | A framework that enables portfolio optimization using deep learning. | 920 |
ahmedfgad/geneticalgorithmpython | A Python library implementing a genetic algorithm for optimization of machine learning models | 1,884 |
rlouf/mcx | Tools and methods for Bayesian deep learning using probabilistic programming. | 325 |
google-deepmind/jraph | A lightweight library for working with graph neural networks in jax. | 1,375 |