sigmoid

There are 1 repository under sigmoid topic.

zjhellofss / KuiperInfer
校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
inference inference-engine deep-learning deep-neural-networks convolution relu sigmoid graph-algorithms maxpooling caffe pnnx pytorch ncnn diy resnet yolo yolov5
Language:C++ 3167
EN10 / CIFAR
CIFAR 10 image dataset
cifar-10 cifar10 cifar sigmoid logistic-regression gradient-descent
Language:Python 52
11fenil11 / Covid19-Detection-Using-Chest-X-Ray
Covid-19 detection in chest x-ray images using Convolution Neural Network.
covid-19 chest-xray-images cnn classification deeplearning covid-19-detection computer-vision deep-learning deep-neural-networks convolutional-neural-networks relu sigmoid
Language:Jupyter Notebook 45
EPSOFT / Deep-Learning
Deep Learning
deep-learning python expit numpy scipy-special binary leakyrelu relu sigmoid tanh
Language:Python 12
zoziha / auto-diff
Fortran backward (reverse) mode automatic differentiation.
auto-differentiation backward fpm modern-fortran sigmoid diff automatic-differentiation
Language:Fortran 11
KhaledAshrafH / Logistic-Regression
This program implements logistic regression from scratch using the gradient descent algorithm in Python to predict whether customers will purchase a new car based on their age and salary.
activation-function cost-function data-preprocessing logistic-regression model preprocessing regression-models sigmoid sigmoid-activation sigmoid-function
Language:Python 8
YeongHyeon / Compare_Activation_Function
Compare vanishing gradient problem case by case.
cnn he-initializer relu sigmoid van gradient problem-solving deep-neural-networks
Language:Python 8
aysebilgegunduz / FeedFwBackProp
Simple multi layer perceptron application using feed forward back propagation algorithm
machine-learning multilayer-perceptron deep-learning relu sigmoid-function sigmoid tanh momentum delta adaline
Language:Python 7
ChriZ982 / NeuralNetTest
Test project for neural networks - Handwritten digit recognition on MNIST dataset
neural-network neural-networks deep-learning machine-learning mnist mnist-classification mnist-classifier java handwritten-digit-recognition image-recognition image-classification swing-gui math matrix matrix-multiplication vector stochastic-gradient-descent cross-entropy sigmoid reinforcement-learning
Language:Java 4
VCHui / xor_pytorch
A classical XOR neural network using pytorch
exercise fully-connected-network gif-animation gnuplot matplotlib neural-network python3 pytorch serialization sigmoid tutorial xor xor-pytorch
Language:Python 4
Ashwanikumarkashyap / neural-net-breast-cancer-prediction-from-scratch
A neural network (NN) having two hidden layers is implemented, besides the input and output layers. The code gives choise to the user to use sigmoid, tanh orrelu as the activation function. Prediction accuracy is computed at the end.
neural-network machine-learning scratch python prediction sigmoid tanh hidden-layers
Language:Python 3
hamk3010 / Tweet-Classifier
A repository with Twitter data and tweet classifiers using several machine learning approaches to measure the accuracy and performance of the approaches on classifying tweets.🐧
keras-neural-networks twitter-data-analysis sigmoid relu
Language:Jupyter Notebook 3
anshul1004 / NeuralNetwork
Neural Network from scratch without any machine learning libraries
neural-network neural-networks machine-learning machine-learning-algorithms machine-learning-scratch neural-networks-from-scratch python python3 sigmoid-activation tanh relu sigmoid relu-layer error-handling supervised-learning uci-machine-learning breast-cancer-wisconsin data-preprocessing standardization normalization
Language:Python 2
Ashot72 / ml5-spfx-extension
ml5 (friendly machine learning for the web) SharePoint Framework (SPFx) extension
ml5 sharepoint spfx-extension spfx regression-models regression classification classification-algorithm tensorflow tensorflowjs linear-regression logistic-regression binary-classification multilinear-regression multinomial-logistic-regression sigmoid softmax neural-network sharepoint-online deep-learning
Language:TypeScript 2
azfarmo / Logistic-Regression-made-from-Scratch
numpy sklearn logistic-regression logistic sigmoid
Language:Jupyter Notebook 2
FabioSmuu / artificial.js
This is an ongoing project intended to make it easier to use neural network creation, genetic algorithms, and other data science and machine learning skills.
ai algorithm artificial genetic ia inteligence inteligencia learning neural neural-network rede-neural neuron normalize pooling relu sigmoid rna weight bias genetic-algorithm
Language:JavaScript 2
jElhamm / Activation-Functions
"The 'Activation Functions' project repository contains implementations of various activation functions commonly used in neural networks. "
activation-functions algorithms artificial-intelligence-algorithms artificial-neural-networks python elu-activation gaussian gelu leakyrelu maxout prelude relu relu-activation selu sigmoid sigmoid-activation sigmoid-activation-function swish tanh tanh-activation
Language:Python 2
pradeepdev-1995 / Gradient-descent
Gradient descent is a first-order iterative optimization algorithm for finding a local minimum of a differentiable function. To find a local minimum of a function using gradient descent, we take steps proportional to the negative of the gradient (or approximate gradient) of the function at the current point. But if we instead take steps proportional to the positive of the gradient, we approach a local maximum of that function; the procedure is then known as gradient ascent.
gradient-descent machine-learning training weights backpropagation forward-propagation artificial-neural-networks activation-functions sigmoid optimization
Language:Jupyter Notebook 2
stdlib-js / math-base-special-expit
Standard logistic function.
nodejs javascript stdlib node node-js mathematics math logit inverse expit logistic proportion log-odds sigmoid special
Language:Python 2
stdlib-js / math-base-special-logit
Logit function.
nodejs javascript stdlib node node-js mathematics math logit proportion log-odds logistic sigmoid special
Language:Python 2
stdlib-js / math-iter-special-expit
Create an iterator which evaluates the standard logistic function for each iterated value.
nodejs javascript stdlib node node-js mathematics math logit inverse expit logistic proportion log-odds sigmoid special iterator iterable iterate
Language:JavaScript 2
stdlib-js / math-iter-special-logit
Create an iterator which evaluates the logit function for each iterated value.
nodejs javascript stdlib node node-js mathematics math logit proportion log-odds logistic sigmoid special iterator iterable iterate
Language:JavaScript 2
tayal-sarthak / SeizureSeeker
(Sarthak Tayal, Annette Dao, Nora Michniewicz, Breanna Carez) Seizure Seeker is a browser-based tool that has trained data from EEG datasets to process EEG recordings to identify areas of seizure events/elevated neural activity. With one-second windows, it establishes a quiet baseline to detect seizure events above YOUR/an auto chosen threshold.
csv csv-import edf edfx eeg eeg-analysis eeg-classification eeg-data eeg-signals-processing html javascript sigmoid
Language:HTML 2
tech-espm / pic-plantrecogniser
Implementation of an ANN for recognisement of the Iris plant-family
neurons sigmoid backpropagation ann propagation relu tanh
Language:Java 2
gs-dynasty
amwata / gs-dynasty
e-commerce platform integrated with google appscript
sigma sigmoid gsdynasty
Language:HTML 1
Anas-github-acc / SigmoidNN
a neural network create to study the deep learning
deep-learning neural-network python sigmoid
Language:Jupyter Notebook 1
BalajiN743 / -Logistic-regression-bank-data-
logistic-regression sigmoid sigmoid-function exploratory-data-analysis feature-selection preprocessing regression
Language:Jupyter Notebook 1
HebaFahmy99 / Logistic-Regression
Implementing a logistic regression program to predict whether a patient has heart disease or not based on some features.
csv heart-disease hypothesis-testing logistic-regression machine-learning pandas sigmoid sklearn gradient-descent
Language:Python 1
JesusGMR96 / SystemVerilog-Neural-Networks
SystemVerilog implementations of fundamental neural network structures, designed for synthesis on FPGAs.
ai-hardware fixed-point fpga hdl machine-learning neural-network neural-networks perceptron relu rtl sigmoid sigmoid-function systemverilog tensorflow verilog python
Language:SystemVerilog 1
mkgeiger / neural-network
Lightweight neural network library written in ANSI-C supporting prediction and backpropagation for Convolutional- and Fully Connected neural networks
adagrad adam-optimizer backpropagation categorical-cross-entropy convolutional-neural-network fully-connected-network glorot-uniform image-classification leaky-relu mean-square-error momentum-optimization-algorithm neural-network relu-layer rmsprop-optimizer sgd-optimizer sigmoid softmax-layer softsign tanh
Language:C 1
BasicDNN
mmaric27 / BasicDNN
Generic L-layer 'straight in Python' fully connected Neural Network implementation using numpy.
deep-neural-network python numpy l-layer-neural-network sigmoid relu leaky-relu tanh softmax gradient-descent mini-batch-gradient-descent adam-optimizer momentum-optimization-algorithm l2-regularization drop-out-layer weights-initialization xavier-initializer he-initializer fully-connected-network neural-network
Language:Python 1
s-kav / s3_s4_activation_function
We introduce two novel hybrid activation functions: S3 (Sigmoid-Softsign) and its improved version S4 (Smoothed S3)
activation-function-exploration deep-learning machine-learning neural-networks python research science sigmoid softsign
Language:Python 1
SameetAsadullah / clinical-risk-prediction
End-to-end binary classification pipeline for clinical risk prediction using PyTorch. Includes preprocessing, imbalanced data handling with SMOTE, optimizer benchmarking (SGD vs Adam), and performance visualization (AUC-ROC, Confusion Matrix). Designed to align with healthcare AI applications and model evaluation best practices.
binary-classification clinical-prediction-models diabetes healthcare-ai imbalanced-data machine-learning model-evaluation optimizer-comparison pytorch sigmoid smote torch
Language:Jupyter Notebook 1
shawntsai0312 / NTUEE_ICDESIGN_23FALL_HW4
NTUEE IC Design 23Fall HW4
approximation gate-level ic ic-design logic-gates ntu ntuee sigmoid verilog
Language:Verilog 1
skosachiov / perceptron-with-sigmoid
This is a compact working example of a perceptron with sigmoid function in python.
backpropagation neural-network perceptron python sigmoid
Language:Python 1
zjykzj / RethinkingPAR
Rethinking of Pedestrian Attribute Recognition: A Reliable Evaluation under Zero-Shot Pedestrian Identity Setting
baseline pedestrian-attribute-recognition python pytorch resnet sigmoid bceloss peta-dataset
Language:Python 1

sigmoid

zjhellofss / KuiperInfer

EN10 / CIFAR

11fenil11 / Covid19-Detection-Using-Chest-X-Ray

EPSOFT / Deep-Learning

zoziha / auto-diff

KhaledAshrafH / Logistic-Regression

YeongHyeon / Compare_Activation_Function

aysebilgegunduz / FeedFwBackProp

ChriZ982 / NeuralNetTest

VCHui / xor_pytorch

Ashwanikumarkashyap / neural-net-breast-cancer-prediction-from-scratch

hamk3010 / Tweet-Classifier

anshul1004 / NeuralNetwork

Ashot72 / ml5-spfx-extension

azfarmo / Logistic-Regression-made-from-Scratch

FabioSmuu / artificial.js

jElhamm / Activation-Functions

pradeepdev-1995 / Gradient-descent

stdlib-js / math-base-special-expit

stdlib-js / math-base-special-logit

stdlib-js / math-iter-special-expit

stdlib-js / math-iter-special-logit

tayal-sarthak / SeizureSeeker

tech-espm / pic-plantrecogniser

amwata / gs-dynasty

Anas-github-acc / SigmoidNN

BalajiN743 / -Logistic-regression-bank-data-

HebaFahmy99 / Logistic-Regression

JesusGMR96 / SystemVerilog-Neural-Networks

mkgeiger / neural-network

mmaric27 / BasicDNN

s-kav / s3_s4_activation_function

SameetAsadullah / clinical-risk-prediction

shawntsai0312 / NTUEE_ICDESIGN_23FALL_HW4

skosachiov / perceptron-with-sigmoid

zjykzj / RethinkingPAR