GitHub topics: loss-functions

Repositories

cordutie/ddsp_textures

Repository designed to showcase the results of the paper "A Statistics-Driven Differentiable Approach for Sound Texture Synthesis and Analysis" presented atDAFx 2025 in Ancona, Italy.

Language: Jupyter Notebook - Size: 2.89 GB - Last synced at: about 19 hours ago - Pushed at: about 20 hours ago - Stars: 0 - Forks: 0

Sasirumindaka10/pytorch-focalloss

PyTorch implementation of binary and multi-class focal loss functions

Language: Python - Size: 22.5 KB - Last synced at: about 21 hours ago - Pushed at: about 22 hours ago - Stars: 0 - Forks: 0

OnlineBunker/linear-regression

🎯 Predict exam scores based on study time using your very own implementation of linear regression from scratch! Visualized, optimized, and beginner-friendly.

Language: Python - Size: 71.3 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

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: 158 KB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 15 - Forks: 2

NikolasMarkou/dl_techniques

Advanced deep learning learning techniques, layers, activations loss functions, all in keras / tensorflow

Language: Python - Size: 1.33 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 2 - Forks: 0

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: 6 days ago - Pushed at: about 1 month ago - Stars: 468 - Forks: 66

fayzi-dev/California_Home_Price_with_MLP

Language: Python - Size: 604 KB - Last synced at: 1 day ago - Pushed at: 13 days ago - Stars: 1 - Forks: 0

kozistr/pytorch_optimizer

optimizer & lr scheduler & loss function collections in PyTorch

Language: Python - Size: 287 MB - Last synced at: 9 days ago - Pushed at: 10 days ago - Stars: 297 - Forks: 24

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: 9 days ago - Pushed at: over 3 years ago - Stars: 4,621 - Forks: 303

csteinmetz1/auraloss

Collection of audio-focused loss functions in PyTorch

Language: Python - Size: 130 KB - Last synced at: 8 days ago - Pushed at: 10 months ago - Stars: 782 - Forks: 71

TransformerTitan/torchcriterion

A curated library of modular, extensible PyTorch loss functions — also known as criteria — for classification, regression, segmentation, and metric learning.

Language: Python - Size: 0 Bytes - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 0

MacVenegas/MLExploration

Welcome to MLExploration, a space for hands-on learning in Machine Learning and Deep Learning. Dive into practical projects and tutorials while exploring essential concepts using popular Python libraries! 🐱💻✨

Language: Jupyter Notebook - Size: 453 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

civion-research/MLExploration

Machine Learning Exploration

Language: Jupyter Notebook - Size: 429 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0

catboost/catboost-viewer

Standalone application for plotting charts with different training statistics in a browser.

Language: JavaScript - Size: 39.1 KB - Last synced at: 1 day ago - Pushed at: almost 8 years ago - Stars: 125 - Forks: 19

statmlben/ensLoss

EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification

Language: Python - Size: 4.13 MB - Last synced at: 10 days ago - Pushed at: 17 days ago - Stars: 29 - Forks: 1

Subhajit0210/Face-Mask-Detection-using-CNN

This project demonstrates how to build a Face Mask Detection System using CNN

Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

bermanmaxim/LovaszSoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

Language: Jupyter Notebook - Size: 2.06 MB - Last synced at: 15 days ago - Pushed at: about 1 year ago - Stars: 1,393 - Forks: 271

mahnoorsheikh16/Node-Classification-with-Graph-Neural-Networks

Evaluation of multiple graph neural network models—GCN, GAT, GraphSAGE, MPNN and DGI—for node classification on graph-structured data. Preprocessing includes feature normalization and adjacency-matrix regularization, and an ensemble of model predictions boosts performance. The best ensemble achieves 83.47% test accuracy.

Language: Jupyter Notebook - Size: 286 KB - Last synced at: 5 days ago - Pushed at: 25 days ago - Stars: 1 - Forks: 0

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: 13 days ago - Pushed at: 6 months ago - Stars: 96 - Forks: 8

LuisFelipePoma/Machine_Learning

Learning about the algorithms used in machine learning, along with techniques for training and testing models.

Language: Jupyter Notebook - Size: 17.3 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 2 - Forks: 0

SXV357/Inspirit-AI-Deep-Dive-Designing-DL-Systems-FinalProject-RL-for-Autonomous-Vehicles

This project uses Reinforcement Learning to teach an agent to drive by itself and learn from its observations so that it can maximize the reward(180+ lines)

Language: Jupyter Notebook - Size: 14.6 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 3 - Forks: 0

kakumarabhishek/MCC-Loss

Matthews Correlation Coefficient Loss implementation for image segmentation.

Language: Jupyter Notebook - Size: 311 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 12 - Forks: 4

BhargaviM0729/MNIST-Handwritten-Digit-Classification-with-Neural-Networks

This project involves training a neural network to classify grayscale images of handwritten digits from the MNIST dataset. Each image is 28x28 pixels and labeled with the correct digit (0–9). The goal is to build a model that can accurately predict the digit shown in a new, unseen image.

Language: Jupyter Notebook - Size: 70.3 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

KaiyangZhou/pytorch-center-loss

Pytorch implementation of Center Loss

Language: Python - Size: 5.54 MB - Last synced at: 14 days ago - Pushed at: over 2 years ago - Stars: 988 - Forks: 219

dingkeyan93/DISTS

IQA: Deep Image Structure and Texture Similarity Metric

Language: Python - Size: 51.3 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 417 - Forks: 45

dingkeyan93/IQA-optimization

Comparison of IQA models in Perceptual Optimization

Language: Python - Size: 404 KB - Last synced at: 12 days ago - Pushed at: almost 2 years ago - Stars: 312 - Forks: 39

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: 29 days ago - Pushed at: over 1 year ago - Stars: 797 - Forks: 123

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: 26 days ago - Pushed at: about 1 month ago - Stars: 39 - Forks: 1

utkuatasoy/Face-Expression-Recognition

This project implements a deep learning-based facial expression recognition system using the FER2013 dataset, addressing class imbalance through sampling strategies, enhancing accuracy with MTCNN-based face alignment, and enabling real-time inference via ONNX models.

Language: Jupyter Notebook - Size: 307 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

bashiralam185/Loss_functions_guide

This repository introduce an interactive Streamlit-based platform that allows real-time experimentation with all 25 loss functions. The tool supports both single-image and batch processing modes, providing visual diagnostics, performance metrics, and overlays for comparing model predictions against ground truth data.

Language: Python - Size: 481 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

dentitoreto/Learning-PyTorch-workflow-with-optuna-and-wandb-for-image-classification-

This repo contains 3 notebooks for implementing PyTorch workflow for simple image classification problem. It contains basic machine learning project flow and also gets improved by using machine learning platforms like Weights & Biases and Optuna. Dataset that is used in CIFAR10. Model is pretrained ResNet18 neural network.

Language: Jupyter Notebook - Size: 195 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

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: 29 days ago - Pushed at: over 1 year ago - Stars: 235 - Forks: 26

shshojaei/research-of-super-resolution

This repository is about my experiences and experiments on the single image super resolution task, which is about retrievaling a high resolution image from a low resolution image using deep learning.

Language: Jupyter Notebook - Size: 169 MB - Last synced at: 24 days ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 0

kahnchana/opl

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

Language: Python - Size: 3.25 MB - Last synced at: 29 days ago - Pushed at: over 3 years ago - Stars: 121 - Forks: 19

m-clark/introduction-to-machine-learning

A document covering machine learning basics. 🤖📊

Language: R - Size: 89.9 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 13

DannyCollinson/pytorch-focalloss

PyTorch implementation of binary and multi-class focal loss functions

Language: Python - Size: 58.6 KB - Last synced at: about 1 hour ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

I-Halder/ML-algorithm-from-scratch

This repo contains implementation of some basic ML algorithms from scratch on PyTorch with GPU support.

Language: Python - Size: 40 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

artemmavrin/focal-loss 📦

TensorFlow implementation of focal loss

Language: Python - Size: 177 KB - Last synced at: 10 days ago - Pushed at: about 4 years ago - Stars: 189 - Forks: 42

GT-RIPL/L2C

Learning to Cluster. A deep clustering strategy.

Language: Python - Size: 431 KB - Last synced at: 29 days ago - Pushed at: over 5 years ago - Stars: 315 - Forks: 49

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 2 months ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 1

Shakilgithub20/Classifying_Textual_Emotions

Language: Jupyter Notebook - Size: 508 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1

balditommaso/PyLandscape

This project propose the loss landscape analysis as effective methodology to understand the robustness against natural perturbation of QNN.

Language: Jupyter Notebook - Size: 8.33 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

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: 2 months ago - Pushed at: over 1 year ago - Stars: 487 - Forks: 93

mahshid1378/DCCRN

DCCRN with various loss functions

Language: Python - Size: 3.94 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

orchardbirds/bokbokbok

Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM

Language: Python - Size: 574 KB - Last synced at: 17 days ago - Pushed at: about 2 months ago - Stars: 36 - Forks: 7

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: 2 months ago - Pushed at: 3 months ago - Stars: 80 - Forks: 18

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 2 months ago - Pushed at: over 3 years ago - Stars: 31 - Forks: 0

umbertogriffo/focal-loss-keras

Binary and Categorical Focal loss implementation in Keras.

Language: Python - Size: 101 KB - Last synced at: 14 days ago - Pushed at: 6 months ago - Stars: 279 - Forks: 67

HiLab-git/ACELoss

Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"

Language: Python - Size: 2.49 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 74 - Forks: 12

JuliaML/LossFunctions.jl

Julia package of loss functions for machine learning.

Language: Julia - Size: 1.37 MB - Last synced at: 5 days ago - Pushed at: 6 months ago - Stars: 146 - Forks: 34

cainmagi/Literature-inspections

The inspections on some important literatures, mainly including codes.

Size: 10.7 KB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

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: 2 months ago - Pushed at: 6 months ago - Stars: 25 - Forks: 1

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 2 months ago - Pushed at: over 2 years ago - Stars: 745 - Forks: 180

sijuswamyresearch/Research_Diary

research details

Language: TeX - Size: 2.61 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

yiyixuxu/polyloss-pytorch

Implementing PolyLoss in Pytorch

Language: Jupyter Notebook - Size: 1.64 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 76 - Forks: 15

C0ll1nDr4k3/sibyl

Repository for the paper "Advancing Time Series Forecasting: Variance-Aware Loss Functions in Transformers"

Language: Python - Size: 247 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

zxurie/Fuel-Efficiency-Prediction--Python

This is a learning project for practice, using regression on the Auto MPG dataset to predict fuel efficiency. It involves building a Neural Network with RMSprop, MSE loss, data normalization, and early stopping to prevent overfitting. Key: normalize data, use MAE/MSE, optimize model.

Size: 1.95 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

mblondel/fenchel-young-losses

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

Language: Python - Size: 244 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 184 - Forks: 9

Rex-8/MNIST-4-layer

Implementing a 4 layer neural to identify digits from a 28x28 grid using just python and numpy

Language: Python - Size: 107 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

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

SamanKhamesian/GLIMMER

Type 1 Diabetes Management using GLIMMER: Glucose Level Indicator Model with Modified Error Rate

Language: Python - Size: 24.4 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Subhajit0210/Bank-Churn-Analysis-And-Modelling--ANN

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

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 2 months ago - Pushed at: 12 months ago - Stars: 10 - Forks: 2

anushkundu/Animal-Image-Classification

Effective deep learning approaches for animal classification.

Language: Jupyter Notebook - Size: 41.5 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Mr-TalhaIlyas/Loss-Functions-Package-Tensorflow-Keras-PyTorch

Loss function Package Tensorflow Keras PyTOrch

Size: 152 KB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 53 - Forks: 6

unvercan/loss-function-comparison-pytorch

Comparison of common loss functions in PyTorch using MNIST dataset

Language: Python - Size: 3.02 MB - Last synced at: 9 days ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

happynear/AMSoftmax

A simple yet effective loss function for face verification.

Language: Matlab - Size: 1.04 MB - Last synced at: 3 months ago - Pushed at: almost 7 years ago - Stars: 489 - Forks: 128

hase3b/BONBID-HIE-Segmentation

This repository implements a 3D U-Net model for segmenting HIE lesions in neonatal MRI scans, exploring various loss functions including Dice, Dice-Focal, Tversky, Hausdorff Distance, and hybrid loss functions. BONBID-HIE dataset is used for this study.

Language: Jupyter Notebook - Size: 3.39 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

nprimavera/Data-Science-for-Mechanical-Systems-ML-

Code created during a Machine Learning class at Columbia University

Size: 4.98 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

AryanPatill/Fuel-Efficiency-Prediction--Python

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

ellenzhuwang/rooted_loss

[AISTATS 2025] Rooted logistic loss to optimize neural network traning and LLM quantization

Language: Python - Size: 128 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 1

Puranjit/Deep-Learning

I am currently working on developing this repository. This repository includes folders including codes for separate deep learning frameworks/API.

Language: Jupyter Notebook - Size: 131 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

YunYang1994/SphereFace

🍑 TensorFlow Code for CVPR 2017 paper "SphereFace: Deep Hypersphere Embedding for Face Recognition"

Language: Python - Size: 50.9 MB - Last synced at: about 2 months ago - Pushed at: about 6 years ago - Stars: 113 - Forks: 28

Parneet-Sandhu/Play-Generator

This model utilizes a character-based approach to generate text that mimics the style of Shakespearean plays.

Language: Jupyter Notebook - Size: 18.5 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

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: 6 months ago - Pushed at: 6 months ago - Stars: 8 - Forks: 3

aecelaya/gen-surf-loss

Code for implementing and comparing the Generalized Surface Loss to other loss functions

Language: Python - Size: 53.7 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0

wecarsoniv/beta-divergence-metrics

PyTorch implementations of the beta divergence loss.

Language: Python - Size: 360 KB - Last synced at: 19 days ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 0

choudharydivik/annproject

This project aims to predict customer churn for a bank using an Artificial Neural Network (ANN). The dataset contains various customer features, such as credit score, age, balance, and other personal details, to predict whether a customer will leave the bank (churn) or stay.

Language: Jupyter Notebook - Size: 298 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

ZahraRahimii/Improving-Question-Generation-using-Transformer-Based-Models

This project improves question generation on the SQuAD dataset by adding feedback to the loss function, enhancing accuracy and context alignment. Performance is evaluated using METEOR and ROUGE-L metrics.

Language: Python - Size: 434 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

justusschock/dl-utils

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

Language: Python - Size: 233 KB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 14 - Forks: 4

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.

Language: JavaScript - Size: 88.9 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

toschaefer/Lucon.jl

loss optimization under unitary constraint

Language: Julia - Size: 319 KB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

ajithvcoder/awesome_cv_loss_functions_2d

Contains details of loss function used in all major deep learning models

Size: 0 Bytes - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

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.

Language: Python - Size: 803 MB - Last synced at: 5 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0