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

Language: C++ - Size: 310 MB - Last synced at: 9 days ago - Pushed at: 7 months ago - Stars: 2,945 - Forks: 333

ducha-aiki/caffenet-benchmark

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

Language: Jupyter Notebook - Size: 201 MB - Last synced at: 12 days ago - Pushed at: almost 8 years ago - Stars: 743 - Forks: 152

ahmedfgad/NumPyCNN

Building Convolutional Neural Networks From Scratch using NumPy

Language: Python - Size: 2.55 MB - Last synced at: 13 days ago - Pushed at: almost 2 years ago - Stars: 582 - Forks: 187

cog-imperial/OMLT

Represent trained machine learning models as Pyomo optimization formulations

Language: Python - Size: 13.1 MB - Last synced at: 28 days ago - Pushed at: 2 months ago - Stars: 314 - Forks: 63

Islanna/DynamicReLU

Implementation of Dynamic ReLU on Pytorch

Language: Python - Size: 3.91 KB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 204 - Forks: 36

GSimas/Deep-LearningAI

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

Language: Jupyter Notebook - Size: 175 MB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 68 - Forks: 57

stevenobadja/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.

Language: Python - Size: 413 MB - Last synced at: about 10 hours ago - Pushed at: about 7 years ago - Stars: 66 - Forks: 19

ahmedfgad/CIFAR10CNNFlask

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

Language: Python - Size: 45.9 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 59 - Forks: 35

hwalsuklee/numpy-neuralnet-exercise

Implementation of key concepts of neuralnetwork via numpy

Language: Python - Size: 26.4 MB - Last synced at: about 2 months ago - Pushed at: over 7 years ago - Stars: 48 - Forks: 13

zer0int/CLIP-fine-tune-registers-gated

Vision Transformers Needs Registers. And Gated MLPs. And +20M params. Tiny modality gap ensues!

Language: Python - Size: 28.4 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 42 - Forks: 1

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

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

Language: Jupyter Notebook - Size: 33.7 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 41 - Forks: 22

KarhouTam/cuda-kernels

Some common CUDA kernel implementations (Not the fastest).

Language: Cuda - Size: 57.6 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 17 - Forks: 1

luca-parisi/quantum_relu

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

Language: Python - Size: 43.9 KB - Last synced at: 30 days ago - Pushed at: 9 months ago - Stars: 14 - Forks: 7

deep-learning-algorithm/PyNet

Numpy implementation of deep learning

Language: Python - Size: 21.5 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 13 - Forks: 4

dataplayer12/swish-activation

Repo for my blogs explaining swish activation function

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EPSOFT/Deep-Learning

Deep Learning

Language: Python - Size: 418 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 0

EPSOFT/layers

layers

Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 0

Kaleidophon/know-your-limits

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

Language: Jupyter Notebook - Size: 94.8 MB - Last synced at: 29 days ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 0

sharmaroshan/MNIST-Dataset

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

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YeongHyeon/Compare_Activation_Function

Compare vanishing gradient problem case by case.

Language: Python - Size: 219 KB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 9 - Forks: 0

lokhande-vishnu/DeepHermites

Language: Python - Size: 83.6 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 3

ThinamXx/GAN

I have prepared a Deep Convolutional Generative Adversarial Networks here.

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

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

Language: Jupyter Notebook - Size: 322 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 5

tejaslodaya/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

Language: Python - Size: 9.72 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 7

aysebilgegunduz/FeedFwBackProp

Simple multi layer perceptron application using feed forward back propagation algorithm

Language: Python - Size: 22.5 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 2

AFAgarap/vanishing-gradients

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

Language: Python - Size: 175 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

kaintels/torchact

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

Language: Python - Size: 71.3 KB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

bhattbhavesh91/activiation-functions

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

Language: Jupyter Notebook - Size: 52.7 KB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 5

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.🐧

Language: Jupyter Notebook - Size: 223 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 2

kastalimohammed1965/CLIP-fine-tune-registers-gated

Vision Transformers Needs Registers. And Gated MLPs. And +20M params. Tiny modality gap ensues!

Language: Python - Size: 16.6 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 2 - Forks: 1

ugyenn-tsheringg/Predicting-Loan-Defaults-with-Deep-Learning

A deep learning model to predict loan default probabilities for the African Credit Scoring Challenge.

Language: Jupyter Notebook - Size: 3.26 MB - Last synced at: 29 days ago - Pushed at: 30 days ago - Stars: 2 - Forks: 0

nabdeep-patel/handwritten-digit-recognition

Language: Jupyter Notebook - Size: 18.5 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0

MusaChowdhury/Approximating-Continuous-Function-With-ReLU 📦

ReLU's Function Approximation

Language: Jupyter Notebook - Size: 5.13 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0

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.

Language: JavaScript - Size: 39.1 KB - Last synced at: 30 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

bhattbhavesh91/why-is-relu-non-linear

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

Language: Jupyter Notebook - Size: 119 KB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 5

AIArabicProjects/DenseNet-Architicture

Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1

anshul1004/NeuralNetwork

Neural Network from scratch without any machine learning libraries

Language: Python - Size: 165 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 1

tech-espm/pic-plantrecogniser

Implementation of an ANN for recognisement of the Iris plant-family

Language: Java - Size: 1.7 MB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

tejaslodaya/tensorflow-signs-nn

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

Language: Python - Size: 20.5 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 3

Aashir01124/Neural-Network-Modifications-Hyperparameter-Experiments

Modifies a neural network's hyperparameters, activation functions, cost functions, and regularization methods to improve training performance and generalization.

Size: 1.95 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

giladodinak/mlinc

Machine Learning from scratch in C

Language: C - Size: 5.55 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 1

aluminarius/ReLU_Plus_Plus

ReLU++: A modified ReLU activation function with enhanced performance for deep learning models.

Size: 5.86 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Mayur-Kyatham/SignoSpeak

American Sign Language (ASL) Detection using CNN

Language: HTML - Size: 82 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

abhie7/dl-from-scratch-mnist

Neural Network from Scratch using Numpy for MNIST Dataset

Language: Jupyter Notebook - Size: 51.8 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

RohanAgarkar/DL-From-Scratch

Neural Network from Scratch using Numpy for MNIST Dataset

Language: Jupyter Notebook - Size: 56.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

jElhamm/Activation-Functions

"The 'Activation Functions' project repository contains implementations of various activation functions commonly used in neural networks. "

Language: Python - Size: 2.06 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

matthewfernst/Late-Residual-Connections

Code repository for my CSU master's research on dead ReLU's

Language: Python - Size: 25.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1

urazdt/smelucu

SmeLU (Smooth ReLU activations) with CUDA Kernel. Shamir, G., I. et al (2022, February 14).

Language: Python - Size: 10.7 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

EPSOFT/Text-Generation

Text Generation

Language: Jupyter Notebook - Size: 17.6 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

iiShreya/Learning-Mario-Agent

Learning Mario Agent with the Double Deep Q-Learning Algorithm in the Gym Super Mario Environment.

Language: Jupyter Notebook - Size: 180 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

cybercat37794/Computer-Vision-and-Pattern-Recognition

This repo is created for learning about computer vision and pattern recognition

Language: Jupyter Notebook - Size: 7.47 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

rjnp2/CIFAR-10-classification-using-PCA

Language: Jupyter Notebook - Size: 20.5 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

KienMN/Activation-Experiments

Experiments using different activation functions.

Language: Python - Size: 34.2 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

vamshikallem/Pytorch_Audio-Emotion-Classifier

Training a model using CNN's to predict the emotion class of an Audio file in pytorch framework.

Language: Jupyter Notebook - Size: 1.29 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

Harshpatel44/Dynamic__Neural_Network

Machine Learning Assignments repository

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beyzabozbey/neural-network

Neural networks: multi-layer perceptrons (MLPs)

Language: Python - Size: 2.51 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

sanjeevai/PyTorchImageClassifier

First implemented the code in Jupyter Notebook and then converted it to a Python application that can be run from the command line

Language: Jupyter Notebook - Size: 324 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

achyutb6/neural-network

Neural network with 2 hidden layers

Language: Python - Size: 188 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

koryakinp/activators

Artificial Neural Networks Activation Functions

Language: C# - Size: 16.6 KB - Last synced at: 25 days ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

somefunAgba/deeplearningWithMatlabinPy

Investigating the Behaviour of Deep Neural Networks for Classification

Language: Python - Size: 1.15 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

kobiso/GAAF-keras

GAAF implementation on Keras

Language: Python - Size: 194 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

cnavneet/notMNIST

Identifying text in images in different fonts using deep neural network techniques.

Language: Jupyter Notebook - Size: 307 KB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

srinidhinandakumar/learning-pytorch

This repository consist of code snippets I'm using to learn to use PyTorch for different deep learning applications

Language: Jupyter Notebook - Size: 38.1 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

rbhanush/Fast-and-Accurate-Deep-Neural-Network-Learning-by-ELUs

• Trained the network for MNIST dataset • Implemented neural network on MNIST dataset by using Sigmoid, ReLU, ELU as the activation function. • Analyzed network’s running time, error rate, efficiency and accuracy.

Language: Python - Size: 10.8 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 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".

Language: Python - Size: 38.1 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

lrmulkayhee/rbm-neural-net-project

This repository focuses on implementing and experimenting with Restricted Boltzmann Machines (RBMs) for reconstructing noisy numeral images. It explores various activation functions, training methodologies, and hyperparameter optimizations to improve RBM performance.

Language: Python - Size: 3.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

himonaj/Phishing-detection-using-Neural-Networks

This project implements a machine learning model to detect phishing websites using a Multi-Layer Perceptron (MLP) neural network. The model analyzes various features extracted from URLs and website characteristics to classify them as either legitimate or phishing. The dataset used is dataset_phishing.csv, which contains 87 features and a binary lab

Language: Jupyter Notebook - Size: 2.23 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

MOSTAFA1172m/Phishing-detection-using-Neural-Networks

This project implements a machine learning model to detect phishing websites using a Multi-Layer Perceptron (MLP) neural network. The model analyzes various features extracted from URLs and website characteristics to classify them as either legitimate or phishing. The dataset used is dataset_phishing.csv, which contains 87 features and a binary lab

Language: Jupyter Notebook - Size: 3.07 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Shreyas9699/Neural-Network-CPP

Implementation Neural Network in C++

Language: C++ - Size: 204 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

SnPreethi/NeuralNets_From_Scratch

A simple NN built from scratch using NumPy to recognize handwritten digits from the MNIST dataset, implementing forward and backward propagation, gradient descent, and activation functions (ReLU & Softmax).

Language: Jupyter Notebook - Size: 2.93 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Niteshchawla/Logistics-NN-Regression

The case study is about India's Largest Marketplace for Intra-City Logistics. This dataset has the required data to train a regression model that will do the delivery time estimation, based on all those features.

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TahirZia-1/Neural-Networks-MNIST-in-Python

Implementations of neural networks in python for the classification of MNIST datasets.

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ReshmaAiman/Rice-Leaf-Disease-Detection

Language: Jupyter Notebook - Size: 7.13 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

pngo1997/Neural-Network-Modifications-Hyperparameter-Experiments

Modifies a neural network's hyperparameters, activation functions, cost functions, and regularization methods to improve training performance and generalization.

Language: Jupyter Notebook - Size: 73.2 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

izmanaveed/AI-based-low-cost-pulse-oximeter

Language: Python - Size: 0 Bytes - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Baschin1103/Neural-network-building-in-python

In this repository is a programm with a pretrained artificial neural network from Building AI. The network predicts the price of a cabin based on it's attributes.

Language: Python - Size: 5.86 KB - Last synced at: 7 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

lam1aa/Intent-classification-with-FNN

Language: Jupyter Notebook - Size: 343 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

sarojinisharon/MNIST-Neural-Network-Experiments

Worked on experimenting Deep Neural Networks with custom MNist Dataset

Language: Python - Size: 0 Bytes - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

troublete/go-qndnn

quick 'n' dirty neural network (for practical use)

Language: Go - Size: 21.5 KB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

TeslaNeuro/Artifical-Neuron-Design-Using-Digital-Electronics

Development of an Artifical Neuron purely using only Digital Electronics for a simple traffic light controller application.

Size: 322 KB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

nachiket273/micrograd_rs

A Beginner's implementation of Andrej karpathy's micrograd in Rust.

Language: Rust - Size: 33.2 KB - Last synced at: 6 days ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

djdhairya/Fish-Species-Detection-and-Recognition

Dataset

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FanisGl/CNN_Machine_Learning

A Machine Learning exercise that trains Convolutional Neural Network (CNN) using the tensorflow 2 and Keras libraries to predict images from the CIFAR-10 dataset.

Language: Jupyter Notebook - Size: 340 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

minhosong88/CNNs_food_classification

This project focuses on using Convolutional Neural Networks (CNNs) to classify food images from the Food-11 dataset.

Language: Jupyter Notebook - Size: 2.02 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

VikentiosVitalis/image_and_video_analysis_and_technology

Laboratories - for 'Image and Video Analysis and Technology' M.Sc. Course ECE @ntua

Language: Jupyter Notebook - Size: 6.75 MB - Last synced at: 19 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

alisatodorova/ML-GroupWork-2

Group work on MultiLayer Perceptron (MLP) and Hyperparameters Optimization

Language: Jupyter Notebook - Size: 4.17 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

NiharJani2002/Kaggle-Computer-Vision-Course-

Computer Vision Course By Kaggle

Language: Jupyter Notebook - Size: 1.85 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

ozelalisen/Transformer-Model-Architectures-for-Context-Aware-Next-Activity-Prediction

Evaluate neural network architectures for context-aware next activity prediction

Language: Python - Size: 12.8 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Yoannmont/Randomized-ReLU

Study of the impact of a Randomized ReLU function on the performance of a neural network model.

Language: Python - Size: 15 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

wulanov/python-foodsales-MLP-Hyperparameter-Tuning

This project focuses on identifying the best hyperparameters for modeling and predicting trends in food sales using a Multi-Layer Perceptron (MLP) neural network. The objective is to optimize the MLP model to achieve high predictive accuracy, enabling businesses to make informed decisions regarding inventory management and sales strategies.

Language: Jupyter Notebook - Size: 20.5 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

chinmoyt03/Deep-Learning-Based-Diabetes-Risk-Analysis

Data Science Project: Comparing 3 Deep Learning Methods (CNN, LSTM, and Transfer Learning).

Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ZeyTrack/digit-recognizer

identify digits from a dataset of tens of thousands of handwritten images.

Language: Jupyter Notebook - Size: 36.1 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jmaczan/ffnn

Feedforward Neural Network from scratch - backpropagation, gradient descent, activation functions

Language: Python - Size: 57.6 KB - Last synced at: 18 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

SharathHebbar/Softmax-as-intermediate-layer-CNN

Softmax-as-intermediate-layer-CNN

Language: Jupyter Notebook - Size: 1.69 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

MaazSiddiqi/mnist-classifier-from-scratch

A from-scratch implementation of a multi-layer, densely connected neural network that can classify handwritten images of numbers. Trained on the MNIST dataset with no external AI library dependencies!

Language: Python - Size: 11 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

peter-strom/ML-p2-Neural_net_embedded

Language: C++ - Size: 2.57 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

francomano/SReLU

My implementation of SReLU activation function using PyTorch

Language: Python - Size: 17.6 KB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

asaficontact/stack_classifier_project

We classified Stack Overflow Python questions from 2008-2016 with Natural Language Processing and Deep Learning. Using Regular Expressions, we removed HTML tags and punctuation. We also utilized spaCy to tokenize, lemmatize and remove stop words. Using Keras, we built a 4 layered artificial neural network with a 20% dropout rate using relu and softmax activation functions. We also utilized the adam optimizer and categorical cross-entropy loss function which classified 11 tags 88% successfully.

Language: Jupyter Notebook - Size: 169 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

BaileeRice/Neural_Network_Charity_Analysis

creating a binary classifier that is capable of predicting whether applicants will come out successful after receiving funding by an investor.

Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

projektdexter/traffic_sign_detection

traffic sign detection using ML

Language: Python - Size: 11.7 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0