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Projects in Awesome Lists tagged with loss-functions
A curated list of projects in awesome lists tagged with loss-functions .
https://github.com/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.
artificial-intelligence autograd bayesian-statistics convolutional-neural-networks data-science deep-learning ensemble-learning feature-extraction graduate-school information-theory interview-preparation jax jobs logistic-regression loss-functions machine-learning python pytorch pytorch-tutorial
Last synced: 20 Dec 2024
https://github.com/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.
artificial-intelligence autograd bayesian-statistics convolutional-neural-networks data-science deep-learning ensemble-learning feature-extraction graduate-school information-theory interview-preparation jax jobs logistic-regression loss-functions machine-learning python pytorch pytorch-tutorial
Last synced: 30 Oct 2024
https://github.com/bermanmaxim/lovaszsoftmax
Code for the Lovász-Softmax loss (CVPR 2018)
image-segmentation loss-functions neural-networks pytorch
Last synced: 21 Dec 2024
https://github.com/kaiyangzhou/pytorch-center-loss
Pytorch implementation of Center Loss
center-loss computer-vision deep-learning feature-learning loss-functions python pytorch
Last synced: 17 Dec 2024
https://github.com/KaiyangZhou/pytorch-center-loss
Pytorch implementation of Center Loss
center-loss computer-vision deep-learning feature-learning loss-functions python pytorch
Last synced: 15 Nov 2024
https://github.com/vandit15/Class-balanced-loss-pytorch
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
computer-vision cvpr2019 deep-learning loss-functions pytorch
Last synced: 15 Nov 2024
https://github.com/csteinmetz1/auraloss
Collection of audio-focused loss functions in PyTorch
Last synced: 17 Dec 2024
https://github.com/pbaylies/stylegan-encoder
StyleGAN Encoder - converts real images to latent space
deep-learning deep-neural-networks gan generative-adversarial-network loss-functions neural-networks perceptual-losses resnet-50
Last synced: 07 Nov 2024
https://github.com/cvqluu/Angular-Penalty-Softmax-Losses-Pytorch
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
am-softmax arcface embedding face-recognition face-verification fashion-mnist fmnist-dataset loss-function loss-functions metric-learning normface pytorch speaker-recognition sphereface
Last synced: 04 Nov 2024
https://github.com/happynear/amsoftmax
A simple yet effective loss function for face verification.
deep-learning face-recognition loss-functions metric-learning softmax
Last synced: 15 Nov 2024
https://github.com/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。
activation-functions cnn convolutional-neural-networks cpp deep-learning inference-framework loss-functions machine-learning python pytorch
Last synced: 15 Dec 2024
https://github.com/gt-ripl/l2c
Learning to Cluster. A deep clustering strategy.
artificial-intelligence artificial-neural-networks clustering deep-learning deep-neural-networks loss-functions semi-supervised-learning similarity-metric supervised-learning transfer-learning unsupervised-learning
Last synced: 18 Dec 2024
https://github.com/GT-RIPL/L2C
Learning to Cluster. A deep clustering strategy.
artificial-intelligence artificial-neural-networks clustering deep-learning deep-neural-networks loss-functions semi-supervised-learning similarity-metric supervised-learning transfer-learning unsupervised-learning
Last synced: 15 Nov 2024
https://github.com/THUFutureLab/gluon-face
An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io
arcface center-loss cosine-loss face-recognition gluon gluoncv loss-functions mxnet pretrained-models sphereface
Last synced: 08 Nov 2024
https://github.com/kozistr/pytorch_optimizer
optimizer & lr scheduler & loss function collections in PyTorch
adabelief adabound adai adamd adamp adan chebyshev deep-learning diffgrad gradient-centralization learning-rate-scheduling lookahead loss-functions madgrad nero optimizer pytorch radam ranger sam
Last synced: 05 Nov 2024
https://github.com/AdeelH/pytorch-multi-class-focal-loss
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
classification deep-learning imbalanced-classes implementation-of-research-paper loss-functions machine-learning multiclass-classification neural-network pytorch pytorch-implementation retinanet
Last synced: 15 Nov 2024
https://github.com/adeelh/pytorch-multi-class-focal-loss
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
classification deep-learning imbalanced-classes implementation-of-research-paper loss-functions machine-learning multiclass-classification neural-network pytorch pytorch-implementation retinanet
Last synced: 18 Dec 2024
https://github.com/artemmavrin/focal-loss
TensorFlow implementation of focal loss
deep-learning keras loss-functions tensorflow
Last synced: 30 Sep 2024
https://github.com/mblondel/fenchel-young-losses
Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
loss-functions probabilistic-classification pytorch sklearn tensorflow
Last synced: 19 Dec 2024
https://github.com/juliaml/lossfunctions.jl
Julia package of loss functions for machine learning.
classification julia loss-functions machine-learning regression
Last synced: 17 Dec 2024
https://github.com/kahnchana/opl
Official repository for "Orthogonal Projection Loss" (ICCV'21)
classification deep-learning loss-functions
Last synced: 15 Nov 2024
https://github.com/yunyang1994/sphereface
🍑 TensorFlow Code for CVPR 2017 paper "SphereFace: Deep Hypersphere Embedding for Face Recognition"
angular-softamx-loss cvpr-2017 deep-learning face-recognition loss-functions tensorflow
Last synced: 09 Nov 2024
https://github.com/fcakyon/balanced-loss
Easy to use class balanced cross entropy and focal loss implementation for Pytorch
balanced-loss binary-crossentropy class-balanced-loss computer-vision cross-entropy cvpr deep-learning focal-loss image-classification loss-functions machine-learning pip pypi python pytorch
Last synced: 19 Dec 2024
https://github.com/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.
deep-learning forecasting keras loss-functions machine-learning python tensorflow time-series time-series-forecasting transformers
Last synced: 02 Nov 2024
https://github.com/yiyixuxu/polyloss-pytorch
Implementing PolyLoss in Pytorch
Last synced: 22 Oct 2024
https://github.com/hilab-git/aceloss
Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"
active-contour-model loss-functions medical-image-segmentation
Last synced: 05 Nov 2024
https://github.com/zbr17/GeDML
Generalized Deep Metric Learning.
computer-vision contrastive-learning deep-metric-learning loss-functions metric-learning self-supervised-learning
Last synced: 15 Nov 2024
https://github.com/lusinlu/bias-loss-skipblocknet
[ICCV 2021]Code for the the bias loss and evaluation of SkipblockNet model on ImageNet validation set
deep-learning loss-functions machine-learning mobile-networks mobilenet objective-functions pytorch pytorch-implementation
Last synced: 08 Nov 2024
https://github.com/orchardbirds/bokbokbok
Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM
binary-classification custom-loss-functions evaluation-metrics focal-loss lightgbm loss-functions regression rmspe xgboost
Last synced: 19 Oct 2024
https://github.com/marcbelmont/hierarchical-categories-loss-tensorflow
A loss function for categories with a hierarchical structure.
categorical-cross-entropy loss loss-functions tensorflow
Last synced: 15 Nov 2024
https://github.com/lartpang/mssim.pytorch
A better pytorch-based implementation for the mean structural similarity. Differentiable simpler SSIM and MS-SSIM.
loss-function loss-functions ssim ssim-loss ssim-metric ssim-metrics ssim-pytorch structure-similarity
Last synced: 06 Dec 2024
https://github.com/m-clark/introduction-to-machine-learning
A document covering machine learning basics. 🤖📊
bias-variance cross-validation knn loss-functions machine-learning neural-network python r random-forest regularization svm
Last synced: 29 Nov 2024
https://github.com/nitinagarwal/QuadricLoss
Learning Embedding of 3D models with Quadric Loss
3d-reconstruction auto-encoder loss-functions machine-learning mesh-networks point-cloud pytorch
Last synced: 28 Oct 2024
https://github.com/lusinlu/gradient-variance-loss
Code of the ICASSP 2022 paper "Gradient Variance Loss for Structure Enhanced Super-Resolution"
deep-learning loss loss-functions machine-learning model-optimization super-resolution training upscaling
Last synced: 08 Nov 2024
https://github.com/bbenligiray/rml-cnn
Semi-Supervised Robust Deep Neural Networks for Multi-Label Classification
loss-functions multi-label-classification robust-machine-learning semi-supervised-learning
Last synced: 13 Nov 2024
https://github.com/kadirnar/losshub
LossHub: Loss Functions Library for Image Classification and Detection
deep-learning loss-functions object-classification
Last synced: 15 Nov 2024
https://github.com/justusschock/dl-utils
Utilities for Deep Learning with PyTorch (models, losses, metrics etc.)
cnn deep-learning deep-neural-networks loss-functions metrics models neural-network python pytorch
Last synced: 23 Oct 2024
https://github.com/alexeytochin/tf_seq2seq_losses
TensorFlow implementations of losses for sequence to sequence machine learning models
2nd-derivative artificial-intelligence artificial-neural-networks ctc ctc-loss ctc-loss-implemenetation deep-learning fast-ctc-loss fast-ctc-loss-implementation hessian loss loss-functions python second-derivative seq2seq sequence-recognition sequence-to-sequence tensorflow
Last synced: 14 Nov 2024
https://github.com/cyberzhg/keras-losses
Some loss functions in Keras
coral-loss keras loss-functions ranking-loss
Last synced: 23 Oct 2024
https://github.com/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.
accuracy confusion-matrix graphics loss-functions matplotlib matplotlib-tutorial vsualization
Last synced: 18 Nov 2024
https://github.com/jackaduma/loss-function-in-pytorch
Loss Function in PyTorch
deeplearning loss-functions nueral-networks pytorch pytorch-implementation
Last synced: 11 Nov 2024
https://github.com/petarv-/deep-lossy-fun
Accompanying demos for my TCES talk on loss function engineering
adversarial-inputs deep-neural-networks deepdream image-processing keras loss-functions neural-style vgg16
Last synced: 09 Nov 2024
https://github.com/shakilgithub20/diabetes-prediction
Using machine learning to determine whether a patient has diabetes or not. applied data cleansing, modeling, visualization.
kares loss-functions machine-learning neural-network nnfl optimizer pandas python sklearn tensorflow
Last synced: 11 Oct 2024
https://github.com/m-clark/r-iii-modeling
Using models to understand relationships and make predictions.
generalized-linear-models linear-models loss-functions machine-learning-basics model-checking model-comparison models r visualization workshop
Last synced: 29 Nov 2024
https://github.com/rahulbhalley/deep-learning-with-swift-for-tensorflow-book
Official source code for "Deep Learning with Swift for TensorFlow" 📖
activation-functions automatic-differentiation cnn convolutional-neural-networks deep-learning deep-neural-networks forward-mode loss-functions machine-learning optimization-methods regularization reverse-mode s4tf swift swift-for-tensorflow tensorflow
Last synced: 27 Oct 2024
https://github.com/shakilgithub20/classifying_textual_emotions
keras loss-functions metrics nlp numpy numpy-arrays optimizer tensorflow
Last synced: 11 Nov 2024
https://github.com/jahongir7174/seesawloss
Seesaw Loss implementation using PyTorch
class-imbalance classification loss-functions pytorch seesawloss
Last synced: 18 Nov 2024
https://github.com/nachiket273/loss-tryout
PyTorch implementation of polyloss and cyclic focal loss and their performance with sample dataset/s.
crossentropyloss focal-loss focalloss loss-functions polyloss python python3 pytorch
Last synced: 05 Nov 2024
https://github.com/ltfschoen/aind2-cnn
classification convolutional-neural-networks deep-neural-networks global-average-pooling image-augmentation image-recognition keras loss-functions mlp model-architecture multi-layer-architecture multi-layer-perceptron one-hot-encode optimiser tensorflow testing training validation
Last synced: 07 Dec 2024
https://github.com/PiePline/pietoolbelt
Toolbelt for PiePline training pipeline
computer-vision dataset deep-learning loss-functions metrics neural-network
Last synced: 15 Nov 2024
https://github.com/worldbeater/umap-losses
Code for the methods and algorithms described in the paper "Fuzzy Information Discrimination Measures and Their Application to Low Dimensional Embedding Construction in the UMAP Algorithm"
fuzzy-logic loss loss-functions umap
Last synced: 05 Nov 2024
https://github.com/cainmagi/literature-inspections
The inspections on some important literatures, mainly including codes.
deep-learning gibbs-sampler gibbs-sampling gibbs-sampling-algorithm importance-sampling loss-functions machine-learning machine-learning-algorithms metropolis metropolis-hastings monte-carlo monte-carlo-integration monte-carlo-methods monte-carlo-simulation neural-network optimization optimization-algorithms stochastic-optimization
Last synced: 18 Dec 2024
https://github.com/sameetasadullah/neural-network-implementation
Neural Network implemented with different Activation Functions i.e, sigmoid, relu, leaky-relu, softmax and different Optimizers i.e, Gradient Descent, AdaGrad, RMSProp, Adam. You can choose different loss functions as well i.e, cross-entropy loss, hinge-loss, mean squared error (MSE)
activation-functions adagrad adam-optimizer cross-entropy-loss gradient-descent hinge-loss jupyter-notebook leaky-relu loss-functions mean-squared-error neural-network optimizers pycharm pycharm-ide python python3 relu-activation rmsprop sigmoid-activation softmax-activation
Last synced: 08 Nov 2024
https://github.com/ltfschoen/aind2-dl
AIND Jupyter Notebook to predict student admissions using Keras Neural Networks
categorical-cross-entropy cross-entropy data-cleaning error-functions keras-neural-networks loss-functions matplotlib-figures multi-layer-perceptron normalize one-hot-encode pandas-dataframes scatter-plot sigmoid splitting stochastic-gradient-descent training-set-generator
Last synced: 09 Nov 2024
https://github.com/apozzi/convnetjs-extras
Builds on the core functionalities of convnetjs by adding more features and utilities that enhance the capabilities of neural network development and experimentation.
activation-functions convnetjs deep-learning deep-neural-networks loss-functions
Last synced: 29 Nov 2024
https://github.com/chandkund/pytorch
Foundational introduction to PyTorch, focusing on the basics of tensors, their creation, manipulation, and operations, which are essential for understanding and building deep learning models
classification computer-vision cuda-programming deep-learning loss-functions matplotlib numpy optimization pandas pyhton pytroch workflow
Last synced: 17 Nov 2024
https://github.com/gugarosa/genetic_loss
📄 Official implementation regarding the paper "Genetic Programming Operators into Artificial Machine Learning Losses".
evolving genetic-programming implementation loss-functions machine-learning paper
Last synced: 24 Nov 2024
https://github.com/roaajadaa/car-price-prediction
Use different models to predict car prices using web scraping
beautifulsoup data-visualization loss-functions machine-learning machine-learning-algorithms numpy pandas pickel preprocessing python sklearn
Last synced: 14 Nov 2024
https://github.com/dane-meister/neural-network
Creating a Neural Network from scratch.
activation-functions loss-functions machine-learning neural-network neural-networks neurons numpy python python3
Last synced: 04 Dec 2024
https://github.com/ajithvcoder/awesome_cv_loss_functions_2d
Contains details of loss function used in all major deep learning models
2d computer-vision deep-learning loss-functions
Last synced: 13 Nov 2024
https://github.com/piero24/lossfuncition-4sn
This research will show an innovative method useful in the segmentation of polyps during the screening phases of colonoscopies. To do this we have adopted a new approach which consists in merging the hybrid semantic network (HSNet) architecture model with the Reagion-wise(RW) as a loss function for the backpropagation process.
dataset deep-learning deep-neural-networks loss loss-functions matplotlib neural-network numpy opencv polyp-detection polyp-segmentation python python3 pytorch segmentation segmentation-models torchvision transformers unipd unipd-dei
Last synced: 10 Nov 2024
https://github.com/piero24/vanillanet-cpp
A fully connected Neural Network in C++ with SGD from scratch, achieving 98% accuracy on the MNIST dataset.
backpropagation cmake cpp deep-learning deep-neural-networks loss-functions neural-network neural-networks-from-scratch opencv softmax
Last synced: 19 Dec 2024