There are 7 repositories under feedforward-neural-network topic.
Simple tutorials using Keras Framework
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
Open-source machine learning framework for Java. Designed with speed and lightweight in mind.
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.
[ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
[CVPR 2022 Oral] Generalizable Human Pose Triangulation
A deep learning library for use in high-performance computing applications in modern Fortran
Generate 3D meshes from 2D images and retexture them directly in Unity.
Wonderful Matrices to Build Small Language Models
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
[INACTIVE] Amazingly simple to build and train various neural networks. The library is an object-oriented neural network approach (baked with Typescript), containing stateless and stateful neural network architectures.
Feed-forward neural network implementation in C with SIMD instructions
Very basic neural network implementation.
An attempt to use financial news to predict stock market
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.
A series of machine learning trigger bots for Counter-Strike: Global Offensive (CS:GO).
An attempt to detect fraud in online transaction in deep neural network using pytorch
Train and evaluate neural network language models for POS tagging, tag input sentences according to a trained model.
Implementing contractive auto encoder for encoding cloud images and using that encoding for multi label image classification
Neural network language models, including feed-forward neural network, recurrent neural network, long-short term memory neural network.
Build our neural networks from scratch
A Pokemon Battle Simulator game built in Unity 2021, implementing 4 AI Algorithms