fenchel-young-losses
by mblondel
Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
AI summary
Loss functions
Provides Fenchel-Young losses for probabilistic classification in PyTorch/TensorFlow/scikit-learn.
- stars
- 183
- forks
- 9
- watching
- 11
Similar projects
Found by comparing what the projects do, not just their names.
Loss functions
Provides a comprehensive set of implementation of various loss functions and operators for deep learning models
Loss function framework
A PyTorch-based framework for implementing normalized loss functions to improve deep learning model robustness against noisy labels.
Noisy label loss function
An implementation of a loss function designed to improve the training of deep neural networks with noisy labels
Image Segmentation Loss
A PyTorch implementation of a loss function used in semantic image segmentation
Bayesian DL tool
A Python package facilitating Bayesian Deep Learning methods with Variational Inference for PyTorch
Negative sampler
A PyTorch implementation of negative sampling loss for text classification models
rlouf/mcx328
Probabilistic programming toolset
Tools and methods for Bayesian deep learning using probabilistic programming.
Factorization machine library
PyTorch implementation of a Factorization Machine module
GAN inference
Reproducible PyTorch inference of the Progressive Growing of GANs model using CelebA training snapshot
Loss Modelling Toolkit
Provides a command line toolkit for developing and running loss modelling frameworks.
Convolutional regularizer
Regularizes convolutional networks by randomly dropping units in contiguous regions of feature maps
I3D weight transfer
Transfers pre-trained I3D network weights from TensorFlow to PyTorch
Federated learner
An implementation of federated learning algorithm for image classification
Jaccard loss framework
A deep learning framework implementing Deeplab-resnet-101 with binary Jaccard loss surrogate, based on the Lovász hinge loss.
PyTorch toolkit
A collection of utility functions and tools for building deep learning models with PyTorch
