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Search results for pytorch loss functions
loss-functions
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pytorch
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30 search results found
Interviews.ai
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3,146
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
Lovaszsoftmax
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941
Code for the Lovász-Softmax loss (CVPR 2018)
Pytorch Center Loss
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842
Pytorch implementation of Center Loss
Class Balanced Loss Pytorch
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740
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
Auraloss
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605
Collection of audio-focused loss functions in PyTorch
L2c
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225
Learning to Cluster. A deep clustering strategy.
2dimageto3dmodel
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190
We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.
Angular Penalty Softmax Losses Pytorch
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185
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
Fenchel Young Losses
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182
Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
Dl_note
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155
深度学习系统笔记,包含深度学习数学基础知识、神经网络基础部件详解、深度学习炼丹策略、模型压缩算法详解
Pytorch_optimizer
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149
optimizer & lr scheduler & loss function collections in PyTorch
Pytorch Multi Class Focal Loss
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132
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
Fastai
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63
I will implement Fastai in each projects present in this repository.
Triplet Loss Pytorch
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61
Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️
Dccrn With Various Loss Functions
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50
DCCRN with various loss functions
Balanced Loss
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43
Easy to use class balanced cross entropy and focal loss implementation for Pytorch
Loss Functions Package Tensorflow Keras Pytorch
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33
Loss function Package Tensorflow Keras PyTOrch
Bias Loss Skipblocknet
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30
[ICCV 2021]Code for the the bias loss and evaluation of SkipblockNet model on ImageNet validation set
Dists
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24
IQA: Deep Image Structure and Texture Similarity Metric
Consistency
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19
Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
C3net
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18
C3Net: Demoireing Network Attentive in Channel, Color and Concatenation (CVPRW 2020)
Soft Dtw Loss
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18
PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA
Online Soft Mining And Class Aware Attention Pytorch
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15
(Pytorch and Tensorflow) Implementation of Weighted Contrastive Loss (Deep Metric Learning by Online Soft Mining and Class-Aware Attention)
Compound Loss Pytorch
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12
Compound loss for PyTorch
Structured_tuning_srl
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12
Implementation of our ACL 2020 paper: Structured Tuning for Semantic Role Labeling
Iqa Optimization
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12
Comparison of Image Quality Models for Optimization of Image Processing Systems
Quadricloss
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11
Learning Embedding of 3D models with Quadric Loss
Polyloss Pytorch
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8
Polyloss Pytorch Implementation
Semi Supervised_fcm_loss_for_segmentation
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8
Supervised and unsupervised loss functions for image segmentation based on the classical FCM objective function. (TensorFlow and PyTorch)
Dl Utils
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7
Utilities for Deep Learning with PyTorch (models, losses, metrics etc.)
Nn Additional Losses
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5
A collection of losses not part of pytorch standard library particularly useful for segmentation task
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