relu

handwritten-digit-recognition

DenseNet-Architicture

caffenet-benchmark

Evaluation of the CNN design choices performance on ImageNet-2012.

NumPyCNN

Building Convolutional Neural Networks From Scratch using NumPy

OMLT

Represent trained machine learning models as Pyomo optimization formulations

DynamicReLU

Implementation of Dynamic ReLU on Pytorch

Deep-LearningAI

🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)

math_object_detection

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

CIFAR10CNNFlask

Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.

numpy-neuralnet-exercise

Implementation of key concepts of neuralnetwork via numpy

Covid19-Detection-Using-Chest-X-Ray

Covid-19 detection in chest x-ray images using Convolution Neural Network.

PyNet

Numpy implementation of deep learning

swish-activation

Repo for my blogs explaining swish activation function

fauna-image-classification-using-convolutional-neural-network

Convolutional neural network for classification of animal images on Animal-10 dataset

cuda-kernels

Some common CUDA kernel implementations (Not the fastest).

Deep-Learning

Deep Learning

layers

layers

quantum_relu

QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras, and PyTorch

know-your-limits

Repository for UAI 2021 paper "Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fail at Reliable OOD Detection".

MNIST-Dataset

Recognizing the Digits from 0-9 using their pixel values as attributes, using Deep Learning Model to Classify the Digits.

Compare_Activation_Function

Compare vanishing gradient problem case by case.

tensorflow-signs-cnn

An algorithm that facilitates communication between a speech-impaired person and someone who doesn't understand sign language using convolution neural networks

GAN

I have prepared a Deep Convolutional Generative Adversarial Networks here.

Convolutional-neural-network-Numpy

Convolutional Neural Network with just Numpy and no other MLLibs

FeedFwBackProp

Simple multi layer perceptron application using feed forward back propagation algorithm

vanishing-gradients

Avoiding the vanishing gradients problem by adding random noise and batch normalization

Building-Deep-Neural-Network-Step-by-Step-Instruction

building a deep neural network with as many layers as you want!

torchact

TorchAct, collection of activation function for PyTorch. https://pypi.org/project/torchact/

activiation-functions

Simple Tutorial to Explain the Pros and Cons of Sigmoid Activation Function

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.🐧

Approximating-Continuous-Function-With-ReLU

ReLU's Function Approximation

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.

Activation-Experiments

Experiments using different activation functions.

why-is-relu-non-linear

A small walk-through to show why ReLU is non linear!

NeuralNetwork

Neural Network from scratch without any machine learning libraries