Popular GitHub Repositories for Feedforward Neural Network

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks

[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets

[ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization

A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.

State of the Art Neural Networks for Deep Learning

A deep learning library for use in high-performance computing applications in modern Fortran

Yet another neural network library

This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided.

A tweet sentiment classifier using word2vec and Keras. This Keras model can be saved and used on other tweet data, like streaming data extracted through the tweepy API.

Train and evaluate neural network language models for POS tagging, tag input sentences according to a trained model.

Neural network language models, including feed-forward neural network, recurrent neural network, long-short term memory neural network.

A Pokemon Battle Simulator game built in Unity 2021, implementing 4 AI Algorithms

Neural Network for word embeddings and Language Model

A machine learning and deep learning project from ground up.

Implementing an Image classification neural network to classify Street House View Numbers

Feedforward Neural Network Coprocessing Microcontroller Unit (CPC via UART) for STM32F103C8T6 Bluepill Development Board written purely in TinyGo.

Marmara üniversitesi, Fen Bilimleri Enstitüsü, Bilgisayar Mühendisli?i b?lümünde sunulan “DER?N S?N?R A?LARI ?LE FEDERE ??RENME TABANLI B?R K?Tü AMA?LI YAZILIM TESP?T UYGULAMASI” ba?l?kl? tez ?al??mas?na ait kaynak kodlar?d?r.

Deep learning for Natural Language Processing

In this model we have tried to use ANN for image classification. We have learnt that ANN flattens the image pixels. This is why we loose some important information, and why ANN should not be preferred for image classification. How ever this project is solely based on the practicing and getting hands dirty and finding dis-advantages of an Architecture over another.