GitHub topics: loss-functions

Repositories

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: about 12 hours ago - Pushed at: about 13 hours 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: 1 day ago - Pushed at: 1 day 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: 2 days ago - Pushed at: 2 days ago - Stars: 12 - Forks: 4

csteinmetz1/auraloss

Collection of audio-focused loss functions in PyTorch

Language: Python - Size: 130 KB - Last synced at: about 19 hours ago - Pushed at: 10 months ago - Stars: 775 - Forks: 71

kozistr/pytorch_optimizer

optimizer & lr scheduler & loss function collections in PyTorch

Language: Python - Size: 287 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 294 - Forks: 24

Sasirumindaka10/pytorch-focalloss

PyTorch implementation of binary and multi-class focal loss functions

Language: Python - Size: 22.5 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

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: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

statmlben/ensLoss

EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification

Language: Python - Size: 4.13 MB - Last synced at: 2 days ago - Pushed at: 4 months ago - Stars: 29 - Forks: 1

NikolasMarkou/dl_techniques

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

Language: Python - Size: 1.27 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

KaiyangZhou/pytorch-center-loss

Pytorch implementation of Center Loss

Language: Python - Size: 5.54 MB - Last synced at: 3 days ago - Pushed at: about 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: 5 days ago - Pushed at: almost 5 years ago - Stars: 417 - Forks: 45

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: 3 days ago - Pushed at: about 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: 5 minutes ago - Pushed at: 17 days 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: 12 days ago - Pushed at: 12 days ago - Stars: 0 - 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: 14 days ago - Pushed at: 14 days ago - Stars: 467 - Forks: 63

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: 17 days ago - Pushed at: 17 days 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: 17 days ago - Pushed at: 17 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: 153 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 10 - Forks: 1

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

kahnchana/opl

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

Language: Python - Size: 3.25 MB - Last synced at: 3 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: 11 days ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 13

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: 6 days ago - Pushed at: 5 months ago - Stars: 95 - Forks: 8

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: 27 days ago - Pushed at: over 3 years ago - Stars: 4,585 - Forks: 299

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 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

artemmavrin/focal-loss 📦

TensorFlow implementation of focal loss

Language: Python - Size: 177 KB - Last synced at: 21 days ago - Pushed at: almost 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: 3 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 1 month ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 1

Shakilgithub20/Classifying_Textual_Emotions

Language: Jupyter Notebook - Size: 508 KB - Last synced at: 12 days ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1

DannyCollinson/pytorch-focalloss

PyTorch implementation of binary and multi-class focal loss functions

Language: Python - Size: 33.2 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

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: 8 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

dingkeyan93/IQA-optimization

Comparison of IQA models in Perceptual Optimization

Language: Python - Size: 404 KB - Last synced at: 18 days ago - Pushed at: over 1 year ago - Stars: 311 - Forks: 39

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

mahshid1378/DCCRN

DCCRN with various loss functions

Language: Python - Size: 3.94 MB - Last synced at: about 1 month ago - Pushed at: about 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: 18 days ago - Pushed at: 27 days 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: about 1 month 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: 27 days ago - Pushed at: about 3 years ago - Stars: 31 - Forks: 0

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

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

JuliaML/LossFunctions.jl

Julia package of loss functions for machine learning.

Language: Julia - Size: 1.37 MB - Last synced at: 2 days ago - Pushed at: 5 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: about 1 month ago - Pushed at: about 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: about 1 month ago - Pushed at: 5 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: 29 days 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: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

yiyixuxu/polyloss-pytorch

Implementing PolyLoss in Pytorch

Language: Jupyter Notebook - Size: 1.64 MB - Last synced at: 11 days ago - Pushed at: almost 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: 2 months ago - Pushed at: 8 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: 2 months ago - Pushed at: 2 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: about 1 month 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: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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

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alexeytochin/tf_seq2seq_losses

TensorFlow implementations of losses for sequence to sequence machine learning models

Language: Python - Size: 73.2 KB - Last synced at: 30 days ago - Pushed at: 11 months ago - Stars: 10 - Forks: 2

anushkundu/Animal-Image-Classification

Effective deep learning approaches for animal classification.

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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

unvercan/loss-function-comparison-pytorch

Comparison of common loss functions in PyTorch using MNIST dataset

Language: Python - Size: 3.02 MB - Last synced at: about 2 months ago - Pushed at: about 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: 2 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: about 2 months ago - Pushed at: 3 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: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

AryanPatill/Fuel-Efficiency-Prediction--Python

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 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: 3 months ago - Pushed at: 3 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: 3 months ago - Pushed at: 3 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: 20 days ago - Pushed at: almost 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: 2 months ago - Pushed at: 4 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: 5 months ago - Pushed at: 5 months ago - Stars: 8 - Forks: 3

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

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: 5 months ago - Pushed at: 5 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: 23 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: 6 months ago - Pushed at: 6 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: 4 days 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: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

toschaefer/Lucon.jl

loss optimization under unitary constraint

Language: Julia - Size: 319 KB - Last synced at: 4 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: 12 days 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: 6 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Piero24/VanillaNet-cpp

A fully connected Neural Network in C++ with SGD from scratch, achieving 98% accuracy on the MNIST dataset.

Language: C++ - Size: 88.6 MB - Last synced at: 6 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Simrank10/Image-colorisation-using-cGAN

This project explores and implements a state-of-the-art approach for automatic image recolorization using Conditional Generative Adversarial Networks (cGANs).

Size: 10.8 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

priyadarshighosh/ANN_Everyday

Everything about Artificial Neural Network from Basic to Adavnced

Language: Jupyter Notebook - Size: 14.9 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

kadirnar/losshub

LossHub: Loss Functions Library for Image Classification and Detection

Language: Python - Size: 32.2 KB - Last synced at: 28 days ago - Pushed at: over 2 years ago - Stars: 14 - Forks: 1

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: about 1 month ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0

Lucas-Haubert/VarifoldLoss

A Shape-Based Loss Function for Deep Learning Time Series Forecasting

Language: Jupyter Notebook - Size: 9.33 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

jrguignan/TensorFlow

Repositorio de TensorFlow, donde exploro las bases fundamentales y muestro algunos códigos esenciales

Language: Jupyter Notebook - Size: 14.1 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

willxxy/MS-SSIM-L1-For-1D

[PyTorch] Implementation of MS-SSIM + L1 loss proposed in "Loss Functions for Neural Networks for Image Processing" for Greyscale Images

Language: Python - Size: 17.6 KB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

AmitKumar7138/Symbol-MathNet

Symbol-MathNet simplifies recognizing handwritten mathematical symbols using deep learning. It’s a valuable tool for educators, students, and researchers working with mathematical expressions.

Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

blanc9211/ML-Algo-Scratch

ML Algorithms implemented using numpy in python

Language: Jupyter Notebook - Size: 97.7 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

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

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: 2 days ago - Pushed at: about 5 years ago - Stars: 267 - Forks: 51

skaurl/w2v-loss

Word2Vec의 손실 함수 변경에 따른 성능 비교 분석 : Additive Angular Margin Loss Function을 중심으로

Language: Jupyter Notebook - Size: 31.2 MB - Last synced at: 9 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

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

Language: Jupyter Notebook - Size: 3.8 MB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

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

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

fardinabbasi/Linear_Regression

Performing polynomial regression of varying degrees on data affected by white and Poisson noise, evaluating the model performance based on MSE loss and the bias-variance trade-off.

Language: Jupyter Notebook - Size: 360 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

HadushHailu/discriminative_few_Shot_face_recognition_and_verification

A discriminative few-shot learning approach for face recognition and verification using a Siamese network architecture. Employing a triplet loss function, the model optimizes the embedding space to cluster faces of the same individual and separate those of different individuals, enhancing accuracy and efficiency with limited training data.

Language: Jupyter Notebook - Size: 13.6 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 1

Related Keywords

loss-functions 283 deep-learning 102 pytorch 74 machine-learning 67 python 46 neural-network 40 tensorflow 33 keras 26 deep-neural-networks 20 activation-functions 19 gradient-descent 18 classification 17 loss 17 numpy 17 neural-networks 15 convolutional-neural-networks 15 computer-vision 13 linear-regression 13 cnn 12 segmentation 11 python3 11 regression 10 artificial-neural-networks 10 regularization 10 pytorch-implementation 10 optimization 9 ai 8 machine-learning-algorithms 8 gan 8 softmax 8 artificial-intelligence 8 face-recognition 8 optimization-algorithms 7 metrics 7 image-classification 7 optimizer 7 metric-learning 7 focal-loss 6 cross-entropy-loss 6 mse 6 backpropagation 6 jupyter-notebook 6 pandas 5 logistic-regression 5 lstm 5 sklearn 5 tensorflow2 5 object-detection 5 deeplearning 5 dataset 5 transformers 5 multiclass-classification 5 triplet-loss 5 cross-entropy 5 matplotlib 5 statistics 4 feedforward-neural-network 4 adam-optimizer 4 clustering 4 generative-adversarial-network 4 image-processing 4 keras-tensorflow 4 data-visualization 4 crossentropyloss 4 nlp 4 mnist-classification 4 ml 4 svm 4 loss-function 4 polynomial-regression 4 mean-square-error 4 models 4 perceptron 4 forecasting 4 learning-rate 4 optimizers 4 stochastic-gradient-descent 4 torch 4 dcgan 4 overfitting 4 accuracy 4 visualization 4 cifar10 4 mean-squared-error 4 transfer-learning 4 svm-classifier 3 binary-classification 3 sampling 3 scikit-learn 3 gradient 3 hyperparameter-optimization 3 point-cloud 3 cross-validation 3 forward-propagation 3 autograd 3 early-stopping 3 interview-preparation 3 convolutional-neural-network 3 relu-activation 3 cnn-keras 3