An open (accessible parameters), feed-forward-only NN (neural net) library to use it in an dynamic and free way in evolutionary algorithms. Design is influenced by the Keras Sequetial model.
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Updated
Jun 25, 2022 - Rust
An open (accessible parameters), feed-forward-only NN (neural net) library to use it in an dynamic and free way in evolutionary algorithms. Design is influenced by the Keras Sequetial model.
models built either from scratch, tensorflow, pyTorch, or scikit learn.
Yet another pytorch implementation of MNIST handwritten digit classification
First Daily Hack HackEPS 2021. Have Fun!
This repo contains the implementation of a VAE and CVAE and applies that on MNIST dataset for modeling and generating different digits.
Prediction of house prices using a fully connected Neural Network exploiting the power of feature selection with backward elimination.
Implemented multiple Classification tasks such as (Linear Regression, Logistic Regression, Decision Tree, KNN, NN)
nn-demo-site.ku , an example setup of free hosted gh-page
Simple layers of Artificial NN from scratch (numpy only)
Variance normalising pre-training of neural networks.
Deep Network implemented from scratch using only NumPy. This is my interpretation of Dense and Sequential available in the Tensorflow package.
Prediction of house prices based on their given different attributes with neural networks and PyTorch framework
Qiana is a smart chatbot system powered by Deep Neural Network. The purpose of this chatbot is to engage with users about food. This chatbot's intention is to enlighten the user about food related topics and take orders for food.
Copy of the 'Neural Network JavaScript library for Coding Train tutorials' in C#
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