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56 search results found

Interviews.ai ⭐ 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.

Pytorch Center Loss ⭐ 842

Pytorch implementation of Center Loss

Class Balanced Loss Pytorch ⭐ 740

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

Auraloss ⭐ 605

Collection of audio-focused loss functions in PyTorch

Focal Frequency Loss ⭐ 407

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

Gluon Face ⭐ 254

An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io

Learning to Cluster. A deep clustering strategy.

Deeptrade ⭐ 211

A LSTM model using Risk Estimation loss function for stock trades in market

Focal Loss Keras ⭐ 195

Binary and Categorical Focal loss implementation in Keras.

2dimageto3dmodel ⭐ 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 ⭐ 185

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

Fenchel Young Losses ⭐ 182

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

Dl_note ⭐ 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 ⭐ 149

optimizer & lr scheduler & loss function collections in PyTorch

Pytorch Multi Class Focal Loss ⭐ 132

An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.

Active Contour Loss ⭐ 117

Implementation of active contour loss function

Sphereface ⭐ 95

🍑 This is a MNIST Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR 2017

Linearityiqa ⭐ 85

[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)

Focal Loss ⭐ 70

TensorFlow implementation of focal loss

Triplet Loss Pytorch ⭐ 61

Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

Improving MMD-GAN training with repulsive loss function

Cse Autoloss ⭐ 51

Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.

Semantic Segmentation With Mobilenetv3 ⭐ 50

TensorFlow (Keras) implementation of MobileNetV3 and its segmentation head

Landscapes ⭐ 50

A dependency free library of standardized optimization test functions written in pure Python.

Dccrn With Various Loss Functions ⭐ 50

DCCRN with various loss functions

Official repository for "Orthogonal Projection Loss" (ICCV'21)

Balanced Loss ⭐ 43

Easy to use class balanced cross entropy and focal loss implementation for Pytorch

Image Segmentation Loss Functions ⭐ 33

some loss functions of image segmentation

Addressing Class Imbalance Fl ⭐ 32

This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).

Bias Loss Skipblocknet ⭐ 30

[ICCV 2021]Code for the the bias loss and evaluation of SkipblockNet model on ImageNet validation set

Generalized Deep Metric Learning.

IQA: Deep Image Structure and Texture Similarity Metric

Regression Loss Functions In Time Series Forecasting Tensorflow ⭐ 22

This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compared 14 regression loss functions performance on 4 different datasets.

Consistency ⭐ 19

Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models

C3Net: Demoireing Network Attentive in Channel, Color and Concatenation (CVPRW 2020)

Nce Loss ⭐ 18

Tensorflow NCE loss in Keras

Keras implementation of "DFNet: Discriminative feature extraction and integration network for salient object detection"

Soft Dtw Loss ⭐ 18

PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA

Hierarchical Categories Loss Tensorflow ⭐ 17

A loss function for categories with a hierarchical structure.

Online Soft Mining And Class Aware Attention Pytorch ⭐ 15

(Pytorch and Tensorflow) Implementation of Weighted Contrastive Loss (Deep Metric Learning by Online Soft Mining and Class-Aware Attention)

Mssim.pytorch ⭐ 14

A better pytorch-based implementation for the mean structural similarity. Differentiable simpler SSIM and MS-SSIM.

Triplet Loss ⭐ 14

Fine tune and train a CNN pre-trained on Imagenet dataset, using Triplet Loss

Semantic Lossfunc ⭐ 13

Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction

Structured_tuning_srl ⭐ 12

Implementation of our ACL 2020 paper: Structured Tuning for Semantic Role Labeling

Compound Loss Pytorch ⭐ 12

Compound loss for PyTorch

LossHub: Loss Functions Library for Image Classification and Detection

[CVPR 2021] This repository is the official implementation of paper: "PML: Progressive Margin Loss for Long-tailed Age Classification"

Iqa Optimization ⭐ 12

Comparison of Image Quality Models for Optimization of Image Processing Systems

Quadricloss ⭐ 11

Learning Embedding of 3D models with Quadric Loss

Tf_seq2seq_losses ⭐ 10

TensorFlow implementations of losses for sequence to sequence machine learning models

Keras Losses ⭐ 9

Some loss functions in Keras

Semi Supervised_fcm_loss_for_segmentation ⭐ 8

Supervised and unsupervised loss functions for image segmentation based on the classical FCM objective function. (TensorFlow and PyTorch)

Corel2019 ⭐ 8

Code for AAAI 2019 Network Interpretability workshop paper

Fully_unsupervised_cnn_registration_keras ⭐ 8

Fully unsupervised 2D/3D image registration with ConvNet.

Polyloss Pytorch ⭐ 8

Polyloss Pytorch Implementation

Lstm Cnn Sud ⭐ 7

Hybrid biLSTM and CNN architecture for Sentence Unit Detection

Utilities for Deep Learning with PyTorch (models, losses, metrics etc.)

We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.

Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction

Official PyTorch implementation for "PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks"

Slfgenerator ⭐ 5

Story-loss function generator

Nn Additional Losses ⭐ 5

A collection of losses not part of pytorch standard library particularly useful for segmentation task

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