feedforward-neural-network

🤖 A portable, header-only, artificial neural network library written in C99

Simple tutorials using Keras Framework

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

A simple machine learning framework written in Swift 🤖

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.

[CVPR 2022 Oral] Generalizable Human Pose Triangulation

State of the Art Neural Networks for Deep Learning

Wonderful Matrices to Build Small Language Models

Generate 3D meshes from 2D images and retexture them directly in Unity.

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.

Multilayer perceptron deep neural network with feedforward and back-propagation for MNIST image classification using NumPy

Selected problems and their solutions from the book on "Machine Intelligence in Design Automation"

Unofficial Implementation of "Bag of Tricks for Efficient Text Classification", 2016, Armand Joulin et al. (https://arxiv.org/pdf/1607.01759.pdf)

Reservoir computing library for .NET. Enables ESN , LSM and hybrid RNNs using analog and spiking neurons working together.

GEDFN: Graph-Embedded Deep Feedforward Network