GitHub topics: loss
OasisLMF/OasisLMF
Loss modelling framework.
Language: Python - Size: 178 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 127 - Forks: 55

vpalmisano/throttler
A Linux tool that allows to apply network constraints to a single or a group of processes.
Language: TypeScript - Size: 1.14 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 3 - Forks: 0

SwuduSusuwu/SusuLib
C++ libs for antiviruses + neural tissue modules (such as Assistants use) + data structures for general use. `/bin/sh` libs for console use. Markdown posts about autonomous tools
Language: C++ - Size: 1.06 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 1

geddy11/sysloss
Power tree analysis of circuits, boards and systems.
Language: Python - Size: 4.31 MB - Last synced at: 10 days ago - Pushed at: 11 days ago - Stars: 2 - Forks: 0

bluorion-com/ZClip
Official implementation of the paper: "ZClip: Adaptive Spike Mitigation for LLM Pre-Training".
Language: Python - Size: 225 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 120 - Forks: 7

githubharald/CTCDecoder
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
Language: Python - Size: 1010 KB - Last synced at: 8 days ago - Pushed at: almost 4 years ago - Stars: 828 - Forks: 182

dropbox/llama
Library for testing and measuring network loss and latency between distributed endpoints.
Language: Go - Size: 6.4 MB - Last synced at: 3 days ago - Pushed at: about 6 years ago - Stars: 65 - Forks: 17

IN-CORE/pyincore
pyIncore is a component of IN-CORE. It is a python package consisting of two primary components: 1) a set of service classes to interact with the IN-CORE web services, and 2) IN-CORE analyses . The pyIncore allows users to apply various hazards to infrastructure in selected areas, propagating the effect of physical infrastructure damage and loss of functionality to social and economic impacts.
Language: Python - Size: 21.8 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 26 - Forks: 10

cavalleria/cavaface
face recognition training project(pytorch)
Language: Python - Size: 305 KB - Last synced at: 11 days ago - Pushed at: over 3 years ago - Stars: 475 - Forks: 85

Alibaba-MIIL/ASL
Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper
Language: Python - Size: 1.46 MB - Last synced at: 23 days ago - Pushed at: almost 2 years ago - Stars: 757 - Forks: 101

EndlessSora/focal-frequency-loss
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
Language: Python - Size: 4.93 MB - Last synced at: 23 days ago - Pushed at: 9 months ago - Stars: 659 - Forks: 64

1044197988/Semantic-segmentation-of-remote-sensing-images
遥感图像的语义分割,基于深度学习,在Tensorflow框架下,利用TF.Keras,运行环境TF2.0+
Language: Python - Size: 3 MB - Last synced at: 28 days ago - Pushed at: about 5 years ago - Stars: 298 - Forks: 71

dropbox/grallama-panel
GraLLAMA panel for LLAMA data
Language: JavaScript - Size: 4.06 MB - Last synced at: 3 days ago - Pushed at: 2 months ago - Stars: 16 - Forks: 11

otvam/magnet_webinar_eqn_models
2023 MagNet Challenge Webinar: Equation-based Baseline Models
Language: MATLAB - Size: 7.42 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 1

Sonya-7/Russian_Invasion_of_Ukraine
This is a Python data visualization project aimed at depicting the current equipment loss associated with the Russian invasion of Ukraine.
Language: Jupyter Notebook - Size: 9.92 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

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

lonePatient/multi-sample_dropout_pytorch
a simple pytorch implement of Multi-Sample Dropout
Language: Python - Size: 258 KB - Last synced at: about 2 months ago - Pushed at: almost 6 years ago - Stars: 57 - Forks: 11

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: 11 months ago - Stars: 10 - Forks: 2

ChaitanyaC22/Neural-Network-using-Numpy
Introduction to Neural Networks (Create a neural network using Numpy)
Language: Jupyter Notebook - Size: 15.8 MB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

AtrCheema/SeqMetrics
Various errors for tabular/structured/time-series data
Language: Python - Size: 3.92 MB - Last synced at: 7 days ago - Pushed at: 4 months ago - Stars: 16 - Forks: 4

kaustav1996/delayed-payment-loss-calc
Delayed Payment Loss Calculator
Language: TypeScript - Size: 42 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

amirhfarzaneh/dacl
Deep Attentive Center Loss
Language: Python - Size: 194 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 62 - Forks: 14

Vermeille/Torchelie
Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.
Language: Python - Size: 1.7 MB - Last synced at: 8 days ago - Pushed at: 6 months ago - Stars: 110 - Forks: 11

jb262/ActuarialMaths.NonLife
Class library for actuarial claims reserving and tariff rating for non-life insurances
Language: C# - Size: 134 KB - Last synced at: 26 days ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 0

EPSOFT/custom-loss-functions
custom loss functions
Language: Jupyter Notebook - Size: 3.91 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

ionbacunov/my_zabbix_templates
Mikrotik Zabbix modified Templates
Size: 80.1 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

MarkusPic/head-loss-nomogram
python function to plot a head loss nomogram
Language: Python - Size: 2.24 MB - 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: 14 days ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 0

dropbox/llama-archive 📦
Loss & LAtency MAtrix
Language: Python - Size: 402 KB - Last synced at: 6 months ago - Pushed at: about 6 years ago - Stars: 44 - Forks: 14

jchavanton/disruptor
generating problems on RTP streams : latency, delay, jitter
Language: C - Size: 126 KB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 16 - Forks: 3

paulveillard/cybersecurity-cyberloss
An ongoing & curated collection of awesome software best practices and techniques, libraries and frameworks, E-books and videos, websites, blog posts, links to github Repositories, technical guidelines and important resources about Cyber Loss in Cybersecurity.
Size: 8.79 KB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 2 - 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: 11 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

ahmedbesbes/Neural-Network-from-scratch
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 263 - Forks: 60

ElektroStudios/Investment-Profit-Loss-Calculator
Investment Profit & Loss Calculator for Windows
Language: Visual Basic .NET - Size: 657 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

RoshniRanaDS27/Superstore_Sales_And_Profit_Analysis
This dataset provides a comprehensive view of sales transactions for a Canadian Superstore, detailing various aspects of the sales market. The data is segmented by customer categories and product types, offering valuable insights into sales performance across different dimensions.
Size: 1.9 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

YadavAkash96/Visual-Segmentation-of-shape-by-cause-in-PyTorch
In a virtual painting task, participants indicated which surface ridges appeared to be caused by the hidden object and which were due to the drapery. The goal of this project was to implement the paper and offer insights into whether a Deep Neural Network (DNN) can outperform humans in producing results.
Language: Python - Size: 14.9 MB - Last synced at: 7 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

davitshahnazaryan3/SLFGenerator
Story-loss function generator
Language: Python - Size: 15.7 MB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 2

TomerRonen34/treeboost_autograd
Easy Custom Losses for Tree Boosters using Pytorch
Language: Python - Size: 32.2 KB - Last synced at: 6 months ago - Pushed at: over 4 years ago - Stars: 30 - Forks: 6

mattladewig/Fiber-Evaluation
Language: Python - Size: 1.38 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

vfdev-5/BootstrappingLoss
Bootstrapping loss function implementation in pytorch
Language: Python - Size: 409 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 36 - Forks: 5

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"
Language: Jupyter Notebook - Size: 1.96 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

SelimWaly/Focaldroid
MobileNet, SSD and Focal Loss Framework
Language: C++ - Size: 33.1 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0

hediyeorhan/LogisticRegressionWithArduino
Language: C - Size: 4.09 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

ZainNasrullah/cyclegan-research-simulating-depth-of-field
investigating generative approaches to simulating depth of field in images
Language: Python - Size: 292 MB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 1

jonasgrebe/pt-femb-face-embeddings
Implementation of related angular-margin-based classification loss functions for training (face) embedding models: SphereFace, CosFace, ArcFace and MagFace.
Language: Python - Size: 86.9 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 23 - Forks: 5

theogravity/binance-trailing-stop-loss-bot
An example crypto trading bot that does a trailing stop loss on Binance and posts to Slack
Language: JavaScript - Size: 94.7 KB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 23 - Forks: 6

vipul2001/Modern-CNNs-Implementation
AlexNet , VGG Blocks , Network In Network (NIN),GoogleNet,ResNet,DenseNet Using Pytorch
Language: Jupyter Notebook - Size: 1010 KB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 12 - Forks: 5

AgentMaker/Paddle-MSSSIM
Fast and differentiable MS-SSIM and SSIM for Paddle.
Language: Python - Size: 3.27 MB - Last synced at: 6 days ago - Pushed at: over 3 years ago - Stars: 15 - Forks: 0

prakashsellathurai/ML-ASSIGNMENT-IDfy
OCR Recognition via custom trained Tesseract
Language: Jupyter Notebook - Size: 178 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

jahelsantiago/MINST-GANs
In this project we created a Generative adversal neural network that can generate hand written numbers based on the Minst data set.
Language: Jupyter Notebook - Size: 18.3 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

usef-kh/fer
Code for the paper "Facial Emotion Recognition: State of the Art Performance on FER2013"
Language: Jupyter Notebook - Size: 550 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 89 - Forks: 33

jElhamm/Article-Deep-Learning-for-the-Gaussian-Wiretap-Channel
Simulations for the paper "Deep Learning for the Gaussian Wiretap Channel by Rick Fritschek, Rafael F. Schaefer, Gerhard Wunder"
Language: Python - Size: 375 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

krishan57gupta/The-cellular-basis-of-the-loss-of-smell-in-2019-nCoV-infected-individuals
A prominent clinical symptom of 2019-nCoV infection is hyposmia/anosmia (decrease or loss of sense of smell), along with general symptoms such as fatigue, shortness of breath, fever, and cough. The identity of the cell lineages that underpin infection associated with loss of olfaction could be critical for the diagnostics/clinical management of 2019-nCoV infected individuals. Angiotensin I Converting Enzyme 2 (ACE2), and Transmembrane protease serine 2 (TMPRSS2) are emerging as associated host receptors vital for viral entry. Accordingly, the ongoing medical examinations and the autopsy reports of the deceased individuals strongly corroborate with the organ/cell-type-specific expression of ACE2, TMPRSS2, and other putative viral entry-associated genes. To determine the cellular basis of anosmia upon 2019-nCoV infection, we employed a targeted bioinformatic analysis of single-cell expression profiles of human olfactory epithelium cell-types. Our results underscored selective expression of these viral entry-associated genes in a subset of sustentacular cells, Bowman’s gland cells, and stem cells of the olfactory epithelium. Co-expression analysis of ACE2 and TMPRSS2 and protein-protein interaction among the host and viral proteins elected regulatory cytoskeleton protein-enriched sustentacular cells as the most vulnerable cell-type of the olfactory epithelium. Furthermore, expression, structural and docking analyses of these viral-entry moieties revealed the potential risk of olfactory dysfunction in four additional mammalian species, revealing an evolutionarily conserved susceptibility. In summary, our findings suggest the molecular and cellular rationale of loss of smell in 2019-nCoV infected patients.
Language: R - Size: 27.6 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

carlomarxdk/cdw-cross-entropy-loss
Implementation of the Class Distance Weighted Cross-Entropy Loss in PyTorch.
Language: Jupyter Notebook - Size: 20.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

m-pektas/IdentitySimilarity
This repository can help researchers who want to use face recognition in their research.
Language: Jupyter Notebook - Size: 526 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

kyegomez/nebula
1 Loss Function For Everything
Language: Python - Size: 18.8 MB - Last synced at: 25 days ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 0

alxmares/TF_Keras_Introduction
Clear and professional exploration of TensorFlow and Keras, from the very basics to more advanced applications.
Language: Jupyter Notebook - Size: 1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

carlosbertoncelli/Additive-Angular-Margin-tf2
Repository with Additive Angular Margin Implementation for Tf 2.0 / tf.keras. Custom Layer Loss implementation for Face Recognition Models.
Language: Python - Size: 3.91 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

LevyDecisionNeuroLab/RA_lenovo
Psychtoolbox task scripts used to run the VA_RA_PTB study (PTSD veteran decision making under risk and ambiguity, gains and losses)
Language: MATLAB - Size: 1.36 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 1

jfilter/deep-plots 📦
📉 Visualize your Deep Learning training in static graphics
Language: Python - Size: 149 KB - Last synced at: 10 days ago - Pushed at: almost 7 years ago - Stars: 5 - Forks: 1

Sangh0/pytorch-loss-metric
Loss functions and Metrics for Detection and Segmentation tasks built with PyTorch
Language: Python - Size: 24.4 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

zischg/IBERfloodlossmodel
Functions for flood loss modelling with the hydraulic model IBER
Language: Python - Size: 25.4 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

VCasecnikovs/Yet-Another-YOLOv4-Pytorch
YOLOv4 Pytorch implementation with all freebies and specials and 15+ more exclusive improvements. Easy to use!
Language: Python - Size: 1.29 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 129 - Forks: 20

devsonni/Chart-Classification-Using-CNN----Keras
This repository consists of models of CNN for classifying different types of charts. Moreover, it also includes script of fine-tuned VGG16 for this task. On top of that CradCAM implementation of fine-tuned VGG16.
Language: Python - Size: 126 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

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

junqiangchen/VNet3D
Prostate MR Image Segmentation 2012
Language: Python - Size: 9.56 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 122 - Forks: 48

amirhfarzaneh/disturblabel-pytorch
PyTorch implementation of DisturbLabel
Language: Python - Size: 66.4 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 1

karunashi/Creation
When the game initializes, the player is given four buttons. Each button represents a randomized number that's generated at each round. It's up to the player to memorize what each number gives, and try to make it all add up to the goal, which is defined as "Destiny." The game is designed in the theme of Creation, where the player plays an unknown deity, and adds together four different types of basic elements to create a full world.
Language: JavaScript - Size: 11.2 MB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0

CryptoKingSandy/future-leverage-calculator
Calculate Future's Leverage Details like Stop Loss and Take Profit in percentage and in USDT
Language: HTML - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

bmarroc/tensorflow
Jupyter notebooks implementing AI, Machine Learning and Deep Learning algorithms in pure TensorFlow
Language: Jupyter Notebook - Size: 16.6 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

IshtyM/Trading-Data-Profit-Calculation
Different strategies and assumptions are used along with code according to which the profits or loss are calculated for trade.
Language: Jupyter Notebook - Size: 38.1 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 0

ZohebAbai/tf-focal-frequency-loss
Tensorflow Implementation of Focal Frequency Loss for Image Reconstruction and Synthesis [ICCV 2021]
Language: Python - Size: 10.7 KB - Last synced at: 15 days ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 1

LeTechie/Vaayu
This application calculates the signal loss by considering Atmospheric Attenuations & Free Space Path Loss
Language: MATLAB - Size: 2.06 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

fabiogaiera/machine-learning-glossary
Machine Learning Concepts
Language: Jupyter Notebook - Size: 5.03 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

starrtennis/pet_memorial
WORK IN PROGRESS. Written in Django.
Language: Python - Size: 64.3 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

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: about 2 years ago - Pushed at: about 7 years ago - Stars: 24 - Forks: 5

hunto/ReLoss
Official implementation for paper "Relational Surrogate Loss Learning", ICLR 2022
Language: Python - Size: 23.4 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 35 - Forks: 6

Ksuryateja/AdvExGAN
Adversarial Attack using a DCGAN
Language: Python - Size: 411 MB - Last synced at: 6 months ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0

MichaelRW/Hearing_Loss_Simulator
A Python Implementation of a Hearing Loss Simulator
Language: Python - Size: 3 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

Meng-Sang/InterFace
Face Recognition tenchonolgy
Language: Python - Size: 38.1 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

shamangary/Keras-MNIST-center-loss-with-visualization
An implementation for mnist center loss training and visualization
Language: Python - Size: 13.8 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 76 - Forks: 19

rdbch/not_a_simclr
A simple PyTorch tutorial for helping one implement the SimCLR framework.
Language: Python - Size: 948 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 10 - Forks: 0

ihaeyong/SoftNet-3DLS
3D Loss Landscapes of SoftNet (Sparse Subnetwork)
Language: Python - Size: 862 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

penguinmenac3/starttf 📦
A tensorflow batteries included kit to write tensorflow networks from scratch or use existing ones.
Language: Python - Size: 634 KB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 15 - Forks: 4

le717/loss-js 📦
Add | || || |__ to any page
Language: JavaScript - Size: 8.79 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0

adamgraham/elegy 📦
🧸⚰️ Elegy is a deep game covering the five stages of grief as a parent deals with the loss of their child. A parent attends the funeral of their child and tries to rewind time to stop the child's death from occurring, but ultimately they must accept the death of their child.
Language: ActionScript - Size: 42.1 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

AntonioSerda/INSTALLATION-OF-SENSORS-AND-DATA-ANALYSIS-OF-A-VERTICAL-AXIS-WIND-TURBINE-FOR-DOMESTIC-USE
Code for a prototype of an Arrieus vertical axis wind turbine. The explanation of the functioning of the code is in the project: A. Serda Mena. (2020). Instalación de sensores y análisis de datos de un aerogenerador de eje vertical para uso doméstico. http://hdl.handle.net/11531/41777
Language: MATLAB - Size: 12.7 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

slryou41/AnchorLoss
Implementation of "Anchor Loss: Modulating loss scale based on prediction difficulty"
Language: Python - Size: 14.6 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 54 - Forks: 4

rematchka/Intended-Sarcasm-Detection-In-English-and-Arabic-for-extremly-unbalanced-datasets
This repo contains work carried out for SemEval 2022 Task 6: iSarcasmEval: Intended Sarcasm Detection In English and Arabic
Language: Jupyter Notebook - Size: 1.5 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

erickmp07/inmana
API to prevent loss of restaurants supplies.
Language: Elixir - Size: 90.8 KB - Last synced at: 10 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

zhezh/focalloss
Focal Loss of multi-classification in tensorflow
Language: Python - Size: 1000 Bytes - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 77 - Forks: 20

sushantMoon/memAE-Pytorch
Memory-augmented Deep Autoencoder (https://arxiv.org/abs/1904.02639) for Vector Data
Language: Python - Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 3

shkma/LossAssessment
MATLAB code to generate some results on the paper (Kitayama, & Cilsalar, 2022).
Language: MATLAB - Size: 146 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

junqiangchen/VNet
Prostate MR Image Segmentation 2012
Language: Python - Size: 954 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 55 - Forks: 26

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

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

Aritra-art/StockPrice
A website which helps user how much profit or loss he/she is making in percentage & absolute value.
Language: JavaScript - Size: 48.8 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Jarvis73/LDA
Tensorflow & PyTorch implementation of LDA loss. Paper: Deep Linear Discriminant Analysis http://arxiv.org/abs/1511.04707
Language: Python - Size: 59.6 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 0

MoinDalvs/Learn_Probability_for_Data_Science
TIme-Series on Stocks Datasets
Language: Jupyter Notebook - Size: 229 KB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

Code-Trees/END-GAME
It's all about NLP. From End- To- End.We will create Deep NLP beyond RNNs/LSTMs ( obsolete now) from scratch and learn why everything until GPT3.
Language: Jupyter Notebook - Size: 26.3 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 2
