activation-function

There are 1 repository under activation-function topic.

Jackpopc / aiLearnNotes
Artificial Intelligence Learning Notes.
computer-vision machine-learning deep-learning tensorflow image-processing reinforcement-learning lenet alexnet vgg dropout activation-function hog harris sift image-denoising image-segmentation image-augmentation image-enhancement cnn dpm
Language:Python 276
kostas1515 / AGLU
[ECCV2024 - Oral] Adaptive Parametric Activation
image-classification instance-segmentation long-tailed-recognition object-detection activation-function eccv2024
Language:Jupyter Notebook 53
pouyaardehkhani / ActTensor
ActTensor: Activation Functions for TensorFlow. https://pypi.org/project/ActTensor-tf/ Authors: Pouya Ardehkhani, Pegah Ardehkhani
activation activation-function activation-functions activations data-science deep-learning deep-neural-networks neural-networks python tensorflow neural-network-architectures python-library python-package tensorflow2 activation-methods deeplearning python3 activation-code ai artificial-intelligence
Language:Python 26
horrible-dong / DNRT
[ICLR 2024] Dynamic Neural Response Tuning
activation-function ann artificial-neural-network deep-learning dynamic-tuning iclr iclr2024 information-aggregation machine-learning neural-representation neural-response neuronal biological-neuron information-transmission artificial-neuron
Language:Python 16
estija / Co-VeGAN
Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction
mri reconstruction compressive-sensing deep-learning deep-complex-networks activation-function gans mri-reconstruction inverse-problem loss-function keras-models generative-adversarial-network complex-valued-data
Language:Python 14
howion / activation-functions
Javascript implementation of some activation functions.
deep-learning machine-learning neural-networks activation-function javascript
Language:JavaScript 13
SensorOrgNet / Universal_Activation_Function
Source for the paper "Universal Activation Function for machine learning"
pytorch deep-learning tensorflow tensorflow2 activation-functions activation-function universal-activation-function python python3
Language:Python 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
mohit1997 / PAF
Understanding DNN
activation-function deep-neural-networks deep-learning machine-learning approximate-algorithms polynomial
Language:Python 8
horrible-dong / DPA
[NeurIPS 2024] Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks
activation-function ann artificial-neural-networks deep-learning machine-learning neural-representation neural-response neurips channel-denosing neurips-2024
Language:Python 7
MoinDalvs / Neural_Networks_From_Scratch
Neural_Networks_From_Scratch
activation-functions back-propagation classification gradient-descent hyperparameter-optimization hyperparameter-tuning keras-neural-networks neural-networks optimizer tensorflow weight-initialization activation-function deep-learning machine-learning neural-network optimization-algorithms
Language:Jupyter Notebook 6
xyproto / swish
:white_check_mark: Optimized Swish activation function, for neural networks
swish activation-function neural-network optimized
Language:Go 5
LaxmiChaudhary / SVHN-Deep-Neural-Network
Implementing an Image classification neural network to classify Street House View Numbers
deep-neural-networks deep-learning artificial-neural-networks knearest-neighbor-classifier batch-normalization dropout feedforward-neural-network backpropagation gradient-descent activation-function deeplearning
Language:Jupyter Notebook 4
luca-parisi / m_arcsinh
m-arcsinh: A Reliable and Efficient Function for Supervised Machine Learning (scikit-learn, TensorFlow, and Keras) and Feature Extraction (scikit-learn)
activation activation-function activation-functions activations arcsinh classification dimensionality-reduction feature-extraction keras keras-tensorflow machine-learning machinelearning mlp mlp-classifier neural-network python scikit-learn svm svm-classifier tensorflow
Language:Python 4
Trusted-System-Lab / WraLU
WraLU is an artifact for the paper "ReLU Hull Approximation" (POPL'24), which provides a sound but incomplete neural network verifier by over-approximating ReLU function hull.
robustness-verification activation-function convex-hull neural-network-verification
Language:Python 4
Adversarial-Intelligence-Group / flexnets
Hyper-Flexible Convolutional Neural Networks Based on Generalized Lehmer and Power Means
deep-learning deep-neural-networks maxpool2d lehmer neural-network convolutional-neural-network pooling activation-function convolution generalization
Language:Python 3
bhattbhavesh91 / why-is-relu-non-linear
A small walk-through to show why ReLU is non linear!
activation-functions activation-function relu-layer relu-derivative neural-networks deep-learning neural-networks-and-deep-learning relu
Language:Jupyter Notebook 2
pacocp / spocu-pytorch
:package: Non-official SPOCU activation function implementation for Pytorch and Tensorflow.
pytorch tensorflow activation-function
Language:Python 2
aluminarius / ReLU_Plus_Plus
ReLU++: A modified ReLU activation function with enhanced performance for deep learning models.
leaky-relu relu parametric-relu activation-function deep-learning efficient-neural-networks machine-learning neural-network optimization flexible-activation-function artificial-intelligence keras python pytorch tensorflow
1
DalhousieAI / pytorch-logit-logic
Logit-space logical activation functions for pytorch
activation activation-function activation-functions logit python pytorch xnor xor
Language:Python 1
erikbuh / leaky_hardtanh
PyTorch implementation of the Leaky Hardtanh activation function
machine-learning neural-network pytorch activation-function
Language:Python 1
mr-ravin / aptx_activation
This repository offers a Python Package for the PyTorch implementation of the APTx activation function, as introduced in the paper "APTx: Better Activation Function than MISH, SWISH, and ReLU's Variants used in Deep Learning".
activation-function aptx aptx-activation aptx-activation-function aptx-function deep-learning deep-learning-research machine-learning mish mish-function pypi-package pytorch pytorch-implementation relu relu-activation relu-function research swish swish-function
Language:Python 1
Trusted-System-Lab / WraAct
WraAct is an artifact for the paper "Convex Hull Approximation for Activation Functions" (OOPSLA'25), which provides a sound but incomplete neural network verifiers by over-approximating the function hulls of various activation functions (including leaky ReLU, ReLU, sigmoid, tanh, and maxpool).
convex-hull neural-network-verification activation-function robustness-verification
Language:Python 1
Xage0424 / Comparative-Analysis-of-Activation-Functions-in-Shallow-Neural-Networks-for-Multi-Class-Image
Comparative Analysis of Activation Functions in Shallow Neural Networks for Multi-Class Image Classification Using MNIST Digits and CIFAR-10 Datasets with Fixed Architectural Parameters
deep-learning experimental image-classification machine-learning python shallow-neural-network activation-function colab-notebook
Language:Jupyter Notebook 1
ZhongkuiMa / wraact
WraAct is a tool to construct the convex hull of various activation functions.
convex-hull activation-function neural-network-verification
Language:Python 1
akhileshravi / MultiLayerPerceptron
This is a repository for Multi-Layer Perceptron and Logistic Regression. There is a code (function) for Logistic Regression. SOme analysis is performed on the function. This is compared with the sklearn Logistic Regression function. Then, the decision boundary has also been plotted for the classification. The next part is the basic neural network. A class and a function has been created for this and it has been used for digit classification (mnist dataset).
machine-learning machine-learning-algorithms deep-learning activation-function neural-network multi-layer-perceptron python python3 logistic-regression logistic-regression-algorithm sigmoid-function
Language:Jupyter Notebook 0
priyadarshighosh / ANN_Everyday
Everything about Artificial Neural Network from Basic to Adavnced
logistic-regression loss-functions perceptron backpropagation dropout-layers early-stopping feature-scaling gradient-descent memoization mnist-handwriting-recognition vanishing-gradient activation-function batch-normalization hyperparameters optimizer reguarization weight-initialization expo-moving-average
Language:Jupyter Notebook 0
rabieifk / CNN-with-CIFAR-10
Design of a CNN (Convolutional Neural Networks) to classify CIFAR-10 images
cnn cnn-keras convolutional-neural-network loss-function activation-function
Language:Python 0
yangrussell / neural-networks
A feedforward multilayer perceptron with gradient descent & backpropagation written from scratch in Java
neural-network perceptron activation-function artificial-intelligence
Language:Java 0
kuntala-c / Deep-Neural-Network-using-Cifar-10-dataset
Deep Learning concepts practice using Cifar-10 dataset
activation-function cifar-10 cifar10-classification deep-learning deep-neural-networks elu-activation keras leaky-relu relu selu tensorflow
Language:Jupyter Notebook
liuliuOD / Back-Propagation
Implement Back Propagation in deep neural network (DNN).
activation-function back-propagation deep-learning deep-neural-networks
Language:Python
mbshbn / Intro-to-Artificial-Neural-Network
step by step tutorial for ANN
perceptron binary-classification logistic-regression activation-function cross-entropy gradient-descent backpropagation feedforward multilayer-perceptron-network multilayer-neural-network
Language:Python
MuhammadSayyadkhan / Machine_Learning
This repository provides a comprehensive machine learning course with theoretical concepts and practical implementations
activation-function classification gradient-descent linear-regression logistic-regression loss-functions machine-learing optimization python-implementation regression sklearn
Language:Jupyter Notebook
RimTouny / Predictive-Analysis-for-Patient-Appointment-Attendance-in-a-Medical-Center-using-R
Predicting patient attendance at Bay Clinic using 'medicalcentre.csv'. Employing SVM, Decision Trees, and DNN models for accuracy, sensitivity, specificity evaluation, and ROC analysis. Part of a Data Science course in my master's program at the University of Ottawa 2023.
activation-function classification data-science deep-neural-network gridsearchcv keras machine-learning model-development model-evaluation normalization outliers downstream-processes r-language r-programming r-programming-language
Language:Jupyter Notebook
Subhajit0210 / Fashion-MNIST--CNN-with-Keras-Tuner
This project demonstrates how to build and optimize a CNN for classifying images from the Fashion MNIST dataset using TensorFlow, Keras, and Keras Tuner.
activation-function convolutional-neural-networks deep-learning fashion-mnist keras keras-tuner loss-functions optimization tensorflow
Language:Jupyter Notebook

activation-function

Jackpopc / aiLearnNotes

kostas1515 / AGLU

pouyaardehkhani / ActTensor

horrible-dong / DNRT

estija / Co-VeGAN

howion / activation-functions

SensorOrgNet / Universal_Activation_Function

KhaledAshrafH / Logistic-Regression

mohit1997 / PAF

horrible-dong / DPA

MoinDalvs / Neural_Networks_From_Scratch

xyproto / swish

LaxmiChaudhary / SVHN-Deep-Neural-Network

luca-parisi / m_arcsinh

Trusted-System-Lab / WraLU

Adversarial-Intelligence-Group / flexnets

bhattbhavesh91 / why-is-relu-non-linear

pacocp / spocu-pytorch

aluminarius / ReLU_Plus_Plus

DalhousieAI / pytorch-logit-logic

erikbuh / leaky_hardtanh

mr-ravin / aptx_activation

Trusted-System-Lab / WraAct

Xage0424 / Comparative-Analysis-of-Activation-Functions-in-Shallow-Neural-Networks-for-Multi-Class-Image

ZhongkuiMa / wraact

akhileshravi / MultiLayerPerceptron

priyadarshighosh / ANN_Everyday

rabieifk / CNN-with-CIFAR-10

yangrussell / neural-networks

kuntala-c / Deep-Neural-Network-using-Cifar-10-dataset

liuliuOD / Back-Propagation

mbshbn / Intro-to-Artificial-Neural-Network

MuhammadSayyadkhan / Machine_Learning

RimTouny / Predictive-Analysis-for-Patient-Appointment-Attendance-in-a-Medical-Center-using-R

Subhajit0210 / Fashion-MNIST--CNN-with-Keras-Tuner