fenchel-young-losses

Loss functions

Provides Fenchel-Young losses for probabilistic classification in PyTorch/TensorFlow/scikit-learn.

Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses

GitHub

183 stars
11 watching
9 forks
Language: Python
last commit: about 1 year ago
loss-functionsprobabilistic-classificationpytorchsklearntensorflow

Related projects:

Repository Description Stars
coincheung/pytorch-loss Provides a comprehensive set of implementation of various loss functions and operators for deep learning models 2,196
hanxunh/active-passive-losses A PyTorch-based framework for implementing normalized loss functions to improve deep learning model robustness against noisy labels. 134
alanchou/truncated-loss An implementation of a loss function designed to improve the training of deep neural networks with noisy labels 126
bes-dev/mpl.pytorch A PyTorch implementation of a loss function used in semantic image segmentation 175
ctallec/pyvarinf A Python package facilitating Bayesian Deep Learning methods with Variational Inference for PyTorch 359
kefirski/pytorch_neg_loss A PyTorch implementation of negative sampling loss for text classification models 125
rlouf/mcx Tools and methods for Bayesian deep learning using probabilistic programming. 328
jmhessel/fmpytorch PyTorch implementation of a Factorization Machine module 173
ptrblck/prog_gans_pytorch_inference Reproducible PyTorch inference of the Progressive Growing of GANs model using CelebA training snapshot 322
oasislmf/oasislmf Provides a command line toolkit for developing and running loss modelling frameworks. 125
miguelvr/dropblock Regularizes convolutional networks by randomly dropping units in contiguous regions of feature maps 589
hassony2/kinetics_i3d_pytorch Transfers pre-trained I3D network weights from TensorFlow to PyTorch 532
jhoon-oh/fedbabu An implementation of federated learning algorithm for image classification 50
bermanmaxim/jaccardsegment A deep learning framework implementing Deeplab-resnet-101 with binary Jaccard loss surrogate, based on the Lovász hinge loss. 97
vermeille/torchelie A collection of utility functions and tools for building deep learning models with PyTorch 111