mkgeiger/neural-network

Simple neural-network supporting most importent features like Convolutional-/Fully Connected network completely written in Ansi C

Language: C - Size: 65.4 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

kyegomez/LocalSoftmax

My own implementation/experiments with a local softmax

Language: Python - Size: 216 KB - Last synced at: about 16 hours ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 0

knotgrass/attention

several types of attention modules written in PyTorch

Language: Python - Size: 142 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 27 - Forks: 9

elliotwaite/softmax-logit-paths

Plots how the logit values that are passed into the softmax function change over time as the model is trained.

Language: Python - Size: 2.93 KB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 3

AFAgarap/cnn-svm 📦

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

Language: Python - Size: 63.1 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 307 - Forks: 125

amirhfarzaneh/lsoftmax-pytorch

The Pytorch Implementation of L-Softmax

Language: Python - Size: 138 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 185 - Forks: 37

Tejas-TA/Face-Mask-Detection-Real-Time-Computer-Vision

This repository contains code that implemented Mask Detection using MobileNet as the base model and Neural Network as the head model. Code draws a rectangular box over the person's face in red if no mask, green if the mask is on, with 99% accuracy in real-time using a live webcam. Refer to README for demo

Language: Jupyter Notebook - Size: 167 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

DanielEftekhari/numerically-efficient-softmax-algorithm

An algorithm to compute the softmax layer in neural networks using low floating-point precision arithmetic.

Size: 361 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sharnam19/Gesture-Recognition-using-CNN

Gesture Recognition by CNN created using Networks Library created by me.

Language: Python - Size: 3.4 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

hiroyuki-kasai/SimpleDeepNetToolbox

Simple MATLAB toolbox for deep learning network: Version 1.0.3

Language: Matlab - Size: 83 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 16 - Forks: 10

aditya9211/Blur-and-Clear-Classification

Classifying the Blur and Clear Images

Language: Python - Size: 51.8 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 98 - Forks: 24

Grafit24/DL-Framework-Numpy

Фреймворк глубоко обучения на Numpy, написанный с целью изучения того, как все работает под "капотом".

Language: Python - Size: 1.17 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

devildances/TwitterSentimentAnalysis_Final_Project

Sentiment analysis for Twitter's tweet (in Indonesia language) was built with 3 models to get a comparison in determining which model gives the best results for predicting a tweet to have a positive or negative meaning.

Language: Jupyter Notebook - Size: 26.5 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 5

KrishArul26/Sentiments-Classifier-using-BERT

The process of computationally identifying and categorizing opinions expressed in a piece of text, especially to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral. Understanding people’s emotions is essential for businesses since customers are able to express their thoughts and feelings more openly than ever before. By automatically analysing customer feedback, from survey responses to social media conversations, brands are able to listen attentively to their customers, and tailor products and services to meet their needs.

Language: Python - Size: 689 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

dalisson/am_softmax

This is a pytorch implementation of the am_softmax, this softmax layer includes the class assignment fully connected layer, as it is required for it to be normalized.

Language: Python - Size: 10.7 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 8 - Forks: 3

jungsoh/wordvecs-sentiment-classification

Use of word embeddings to classify sentiments of sentences and automatically attach emojis

Language: Jupyter Notebook - Size: 67.7 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

sharnam19/Networks

Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.

Language: Python - Size: 3.51 MB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 1

Seghelicious/Sentiment-Analysis-with-Neural-Networks

Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

divyeshBhartiya/TensorFlow-Course

Size: 437 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

MANOJPATRA1991/Deep-Learning-Nanodegree

Projects Related to Deep Learning Nanodegree

Language: Jupyter Notebook - Size: 33.7 MB - Last synced at: 9 days ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0