Topic: "loss-functions"
BoltzmannEntropy/interviews.ai
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.
Size: 21 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 4,585 - Forks: 299
bermanmaxim/LovaszSoftmax
Code for the Lovász-Softmax loss (CVPR 2018)
Language: Jupyter Notebook - Size: 2.06 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 1,388 - Forks: 270
KaiyangZhou/pytorch-center-loss
Pytorch implementation of Center Loss
Language: Python - Size: 5.54 MB - Last synced at: 6 days ago - Pushed at: about 2 years ago - Stars: 988 - Forks: 219
vandit15/Class-balanced-loss-pytorch
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
Language: Python - Size: 157 KB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 797 - Forks: 123
csteinmetz1/auraloss
Collection of audio-focused loss functions in PyTorch
Language: Python - Size: 130 KB - Last synced at: 4 days ago - Pushed at: 10 months ago - Stars: 775 - Forks: 71
pbaylies/stylegan-encoder Fork of Puzer/stylegan-encoder
StyleGAN Encoder - converts real images to latent space
Language: Jupyter Notebook - Size: 12.4 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 745 - Forks: 180
happynear/AMSoftmax
A simple yet effective loss function for face verification.
Language: Matlab - Size: 1.04 MB - Last synced at: 2 months ago - Pushed at: almost 7 years ago - Stars: 489 - Forks: 128
cvqluu/Angular-Penalty-Softmax-Losses-Pytorch
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
Language: Python - Size: 9.35 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 487 - Forks: 93
harleyszhang/dl_note
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。
Language: Python - Size: 189 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 467 - Forks: 63
dingkeyan93/DISTS
IQA: Deep Image Structure and Texture Similarity Metric
Language: Python - Size: 51.3 MB - Last synced at: 9 days ago - Pushed at: almost 5 years ago - Stars: 417 - Forks: 45
GT-RIPL/L2C
Learning to Cluster. A deep clustering strategy.
Language: Python - Size: 431 KB - Last synced at: 6 days ago - Pushed at: over 5 years ago - Stars: 315 - Forks: 49
dingkeyan93/IQA-optimization
Comparison of IQA models in Perceptual Optimization
Language: Python - Size: 404 KB - Last synced at: 22 days ago - Pushed at: over 1 year ago - Stars: 311 - Forks: 39
happynoom/DeepTrade
A LSTM model using Risk Estimation loss function for stock trades in market
Language: Python - Size: 3.19 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 306 - Forks: 142
kozistr/pytorch_optimizer
optimizer & lr scheduler & loss function collections in PyTorch
Language: Python - Size: 287 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 294 - Forks: 24
umbertogriffo/focal-loss-keras
Binary and Categorical Focal loss implementation in Keras.
Language: Python - Size: 101 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 278 - Forks: 67
THUFutureLab/gluon-face
An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io
Language: Python - Size: 1.38 MB - Last synced at: 6 days ago - Pushed at: about 5 years ago - Stars: 267 - Forks: 51
NikolaZubic/2dimageto3dmodel
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.
Language: Python - Size: 178 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 264 - Forks: 26
AdeelH/pytorch-multi-class-focal-loss
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
Language: Python - Size: 27.3 KB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 235 - Forks: 26
Mephisto405/Learning-Loss-for-Active-Learning
Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
Language: Python - Size: 122 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 197 - Forks: 48
xuuuuuuchen/Active-Contour-Loss
Implementation of active contour loss function
Language: Python - Size: 145 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 191 - Forks: 34
artemmavrin/focal-loss 📦
TensorFlow implementation of focal loss
Language: Python - Size: 177 KB - Last synced at: 24 days ago - Pushed at: almost 4 years ago - Stars: 189 - Forks: 42
mblondel/fenchel-young-losses
Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
Language: Python - Size: 244 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 184 - Forks: 9
JuliaML/LossFunctions.jl
Julia package of loss functions for machine learning.
Language: Julia - Size: 1.37 MB - Last synced at: 6 days ago - Pushed at: 5 months ago - Stars: 146 - Forks: 34
kahnchana/opl
Official repository for "Orthogonal Projection Loss" (ICCV'21)
Language: Python - Size: 3.25 MB - Last synced at: 6 days ago - Pushed at: over 3 years ago - Stars: 121 - Forks: 19
catboost/catboost-viewer
Standalone application for plotting charts with different training statistics in a browser.
Language: JavaScript - Size: 39.1 KB - Last synced at: about 1 year ago - Pushed at: almost 8 years ago - Stars: 120 - Forks: 19
YunYang1994/SphereFace
🍑 TensorFlow Code for CVPR 2017 paper "SphereFace: Deep Hypersphere Embedding for Face Recognition"
Language: Python - Size: 50.9 MB - Last synced at: 24 days ago - Pushed at: almost 6 years ago - Stars: 113 - Forks: 28
fcakyon/balanced-loss
Easy to use class balanced cross entropy and focal loss implementation for Pytorch
Language: Python - Size: 30.3 KB - Last synced at: 10 days ago - Pushed at: 5 months ago - Stars: 95 - Forks: 8
richardwth/MMD-GAN
Improving MMD-GAN training with repulsive loss function
Language: Python - Size: 26.9 MB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 89 - Forks: 19
lidq92/LinearityIQA
[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
Language: Python - Size: 4.93 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 85 - Forks: 14
alfonmedela/triplet-loss-pytorch
Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️
Language: Python - Size: 179 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 83 - Forks: 15
aryan-jadon/Regression-Loss-Functions-in-Time-Series-Forecasting-Tensorflow
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.
Language: Python - Size: 2.52 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 80 - Forks: 18
yiyixuxu/polyloss-pytorch
Implementing PolyLoss in Pytorch
Language: Jupyter Notebook - Size: 1.64 MB - Last synced at: 15 days ago - Pushed at: almost 3 years ago - Stars: 76 - Forks: 15
sasidhar-programmer/Tensorflow_Advance_Techniques
deeplearning.ai Tensorflow advance techniques specialization
Language: Jupyter Notebook - Size: 87.8 MB - Last synced at: 10 months ago - Pushed at: over 4 years ago - Stars: 76 - Forks: 73
HiLab-git/ACELoss
Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"
Language: Python - Size: 2.49 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 74 - Forks: 12
balanced-fl/Addressing-Class-Imbalance-FL
This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).
Language: Python - Size: 44.9 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 66 - Forks: 14
ThinamXx/Fastai
I will implement Fastai in each projects present in this repository.
Language: Jupyter Notebook - Size: 77.1 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 64 - Forks: 32
junqiangchen/Image-Segmentation-Loss-Functions
some loss functions of image segmentation
Language: Python - Size: 14.6 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 61 - Forks: 15
seorim0/DCCRN-with-various-loss-functions
DCCRN with various loss functions
Language: Python - Size: 27.6 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 59 - Forks: 17
isi-vista/structure_via_consensus
Towards Learning Structure via Consensus for Face Segmentation and Parsing (CVPR 2020)
Language: Jupyter Notebook - Size: 2.59 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 57 - Forks: 9
OniroAI/Semantic-segmentation-with-MobileNetV3
TensorFlow (Keras) implementation of MobileNetV3 and its segmentation head
Language: Python - Size: 53.7 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 55 - Forks: 13
Mr-TalhaIlyas/Loss-Functions-Package-Tensorflow-Keras-PyTorch
Loss function Package Tensorflow Keras PyTOrch
Size: 152 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 53 - Forks: 6
andrijdavid/FocalLoss
Weighted Focal Loss for multilabel classification
Language: Python - Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 48 - Forks: 15
RuiminChen/GIouloss_CIouloss_caffe
Caffe version Generalized & Distance & Complete Iou loss Implementation for Faster RCNN/FPN bbox regression
Language: Cuda - Size: 26.4 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 44 - Forks: 13
crlandsc/torch-log-wmse
logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.
Language: Python - Size: 408 KB - Last synced at: 4 days ago - Pushed at: 20 days ago - Stars: 39 - Forks: 1
orchardbirds/bokbokbok
Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM
Language: Python - Size: 574 KB - Last synced at: 22 days ago - Pushed at: about 1 month ago - Stars: 36 - Forks: 7
shivsondhi/Triplet-Loss
Use Triplet Loss to finetune and train a CNN pre-trained on the Imagenet dataset
Language: Python - Size: 16.6 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 36 - Forks: 17
lusinlu/bias-loss-skipblocknet
[ICCV 2021]Code for the the bias loss and evaluation of SkipblockNet model on ImageNet validation set
Language: Python - Size: 19.8 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 35 - Forks: 6
zbr17/GeDML
Generalized Deep Metric Learning.
Language: Python - Size: 6.14 MB - Last synced at: 6 days ago - Pushed at: about 3 years ago - Stars: 35 - Forks: 3
junyuchen245/Fully_Unsupervised_CNN_Registration_Keras
Fully unsupervised 2D/3D image registration with ConvNet.
Language: Python - Size: 14.2 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 34 - Forks: 12
eggie5/NCE-loss
Tensorflow NCE loss in Keras
Language: Python - Size: 20.5 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 33 - Forks: 9
lusinlu/gradient-variance-loss
Code of the ICASSP 2022 paper "Gradient Variance Loss for Structure Enhanced Super-Resolution"
Language: Python - Size: 204 KB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 31 - Forks: 0
utahnlp/consistency
Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
Language: Python - Size: 12.9 MB - Last synced at: 6 months ago - Pushed at: almost 4 years ago - Stars: 30 - Forks: 3
TomerRonen34/treeboost_autograd
Easy Custom Losses for Tree Boosters using Pytorch
Language: Python - Size: 32.2 KB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 30 - Forks: 6
statmlben/ensLoss
EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification
Language: Python - Size: 4.13 MB - Last synced at: 5 days ago - Pushed at: 4 months ago - Stars: 29 - Forks: 1
aryan-jadon/Regression-Loss-Functions-in-Time-Series-Forecasting-PyTorch
This repository compares the performance of 8 different regression loss functions used in Time Series Forecasting using Temporal Fusion Transformers.
Language: Jupyter Notebook - Size: 115 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 27 - Forks: 5
m-clark/introduction-to-machine-learning
A document covering machine learning basics. 🤖📊
Language: R - Size: 89.9 MB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 13
marcbelmont/hierarchical-categories-loss-tensorflow
A loss function for categories with a hierarchical structure.
Language: Python - Size: 105 KB - Last synced at: 25 days ago - Pushed at: over 6 years ago - Stars: 26 - Forks: 2
lartpang/mssim.pytorch
A better pytorch-based implementation for the mean structural similarity. Differentiable simpler SSIM and MS-SSIM.
Language: Python - Size: 50.8 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 25 - Forks: 1
oikosohn/compound-loss-pytorch
Compound loss for PyTorch
Language: Python - Size: 31.3 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 25 - Forks: 8
abhuse/polyloss-pytorch
Polyloss Pytorch Implementation
Language: Python - Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 25 - Forks: 6
bmycheez/C3Net
C3Net: Demoireing Network Attentive in Channel, Color and Concatenation (CVPRW 2020)
Language: Python - Size: 3.82 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 24 - Forks: 9
Balupurohit23/IOU-for-bounding-box-regression-in-Keras
IOU as loss for object detection tasks and IOU as metric for object detection tasks
Language: Python - Size: 5.86 KB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 24 - Forks: 5
Sina-Mohammadi/DFNet
Keras implementation of "DFNet: Discriminative feature extraction and integration network for salient object detection"
Language: Python - Size: 9.16 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 22 - Forks: 11
zengchang233/asv_neural_network
neural network and loss for asv implemented by PyTorch. (Triplet loss, LMCL, Angular Loss, Softmax)
Language: Python - Size: 69.3 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 20 - Forks: 6
ppriyank/-Online-Soft-Mining-and-Class-Aware-Attention-Pytorch
(Pytorch and Tensorflow) Implementation of Weighted Contrastive Loss (Deep Metric Learning by Online Soft Mining and Class-Aware Attention)
Language: Python - Size: 382 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 20 - Forks: 3
nitinagarwal/QuadricLoss
Learning Embedding of 3D models with Quadric Loss
Language: Python - Size: 106 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 2
bbenligiray/rml-cnn
Semi-Supervised Robust Deep Neural Networks for Multi-Label Classification
Language: Python - Size: 134 KB - Last synced at: 9 days ago - Pushed at: over 5 years ago - Stars: 17 - Forks: 2
ayansengupta17/GAN
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.
Language: HTML - Size: 1.3 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 17 - Forks: 8
utahnlp/structured_tuning_srl
Implementation of our ACL 2020 paper: Structured Tuning for Semantic Role Labeling
Language: Python - Size: 802 KB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 16 - Forks: 2
kiankd/corel2019
Code for AAAI 2019 Network Interpretability workshop paper
Language: Python - Size: 11.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 15 - Forks: 2
huanglau/Keras-Weighted-Binary-Cross-Entropy
loss function for keras
Language: Python - Size: 17.6 KB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 15 - Forks: 3
SanyeungWang/PML
[CVPR 2021] This repository is the official implementation of paper: "PML: Progressive Margin Loss for Long-tailed Age Classification"
Language: Python - Size: 205 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 14 - Forks: 2
nicolas-hbt/semantic-lossfunc
Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction
Language: Python - Size: 27.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 3
bjin96/emd
An implementation of Squared Earth-Mover's Distance loss for Neural Networks.
Language: Python - Size: 72.3 KB - Last synced at: 11 months ago - Pushed at: about 2 years ago - Stars: 14 - Forks: 2
kadirnar/losshub
LossHub: Loss Functions Library for Image Classification and Detection
Language: Python - Size: 32.2 KB - Last synced at: 1 day ago - Pushed at: over 2 years ago - Stars: 14 - Forks: 1
justusschock/dl-utils
Utilities for Deep Learning with PyTorch (models, losses, metrics etc.)
Language: Python - Size: 233 KB - Last synced at: 8 days ago - Pushed at: almost 5 years ago - Stars: 14 - Forks: 4
doheejin/SB_loss_PA
This repository is the implementation of the paper, "Score-balanced Loss for Multi-aspect Pronunciation Assessment" (Interspeech 2023).
Language: Python - Size: 482 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 13 - Forks: 1
junyuchen245/Semi-supervised_FCM_Loss_for_Segmentation
Supervised and unsupervised loss functions for image segmentation based on the classical FCM objective function. (TensorFlow and PyTorch)
Language: Python - Size: 541 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 13 - Forks: 6
Amitha353/Machine-Learning-Regression
Machine-Learning-Regression
Language: Jupyter Notebook - Size: 10 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 12
adiyoss/StructED
Risk Minimization Algorithms in Structured Prediction (JMLR 2016)
Language: Java - Size: 54.5 MB - Last synced at: about 1 year ago - Pushed at: over 8 years ago - Stars: 13 - Forks: 2
kakumarabhishek/MCC-Loss
Matthews Correlation Coefficient Loss implementation for image segmentation.
Language: Jupyter Notebook - Size: 311 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 12 - Forks: 4
davitshahnazaryan3/SLFGenerator
Story-loss function generator
Language: Python - Size: 15.7 MB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 2
catcd/LSTM-CNN-SUD
Hybrid biLSTM and CNN architecture for Sentence Unit Detection
Language: Python - Size: 21.4 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 6
itakurah/Focal-loss-PyTorch
Focal Loss implementation of the loss function proposed by Facebook AI Research to address class imbalance during training in tasks like object detection
Language: Python - Size: 153 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 10 - Forks: 1
alexeytochin/tf_seq2seq_losses
TensorFlow implementations of losses for sequence to sequence machine learning models
Language: Python - Size: 73.2 KB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 10 - Forks: 2
wecarsoniv/beta-divergence-metrics
PyTorch implementations of the beta divergence loss.
Language: Python - Size: 360 KB - Last synced at: 26 days ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 0
CyberZHG/keras-losses 📦
Some loss functions in Keras
Language: Python - Size: 10.7 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 2
oleksandr-g-rock/How_to_create_confusion_matrix
How to create a confusion matrix with the test result in your training model & How to visualize the history of network learning: accuracy, loss in graphs.
Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: 2 days ago - Pushed at: over 4 years ago - Stars: 10 - Forks: 2
mjDelta/keras-center-loss-MNIST
keras implementation of A Discriminative Feature Learning Approach for Deep Face Recognition based on MNIST
Language: Jupyter Notebook - Size: 675 KB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 10 - Forks: 5
tinkoff-ai/exact
The original PyTorch implementation of the "EXACT: How Train Your Accuracy"
Language: Python - Size: 16.6 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 0
BKHMSI/LossMNIST
Exploring the discriminating power of different loss functions for classification
Language: Python - Size: 645 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 2
LegendLeoChen/yolov8-bird
Posture recognition for birds based on YOLOv8 keypoints regression. YOLOv8鸟类关键点姿态识别
Language: Jupyter Notebook - Size: 14 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 8 - Forks: 3
dscheepens/Deep-RNN-for-extreme-wind-speed-prediction
Paper code for "Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extreme wind speed events in the short-to-medium range".
Language: Jupyter Notebook - Size: 803 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 8 - Forks: 4
Chirag-Shilwant/One-Shot-Classification-using-Siamese-Network-on-MNIST-Dataset
A Siamese Neural Network is a class of neural network architectures that contain two or more identical subnetworks. ‘identical’ here means, they have the same configuration with the same parameters and weights.
Language: Jupyter Notebook - Size: 111 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 4
arhtur007/Angular-Triplet-Center-Loss
Angular triplet center loss implementation in Pytorch.
Language: Python - Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 8 - Forks: 3
PetarV-/deep-lossy-fun
Accompanying demos for my TCES talk on loss function engineering
Language: Python - Size: 9.68 MB - Last synced at: 8 days ago - Pushed at: about 8 years ago - Stars: 8 - Forks: 2
jacobzhaoziyuan/AMR-Loss
[ICME 2022] Official Implementation for "Adaptive Mean-Residue Loss for Robust Facial Age Estimation"
Language: Python - Size: 163 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 2
Shakilgithub20/Diabetes-Prediction
Using machine learning to determine whether a patient has diabetes or not. applied data cleansing, modeling, visualization.
Language: Jupyter Notebook - Size: 1.43 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 1
jackaduma/Loss-Function-In-PyTorch
Loss Function in PyTorch
Language: Jupyter Notebook - Size: 5.86 KB - Last synced at: 17 days ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 0
shayansiddiqui/nn-additional-losses
A collection of losses not part of pytorch standard library particularly useful for segmentation task
Language: Python - Size: 180 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 3
