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
[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
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
A deep learning library for use in high-performance computing applications in modern Fortran
A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.
[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.
Very basic neural network implementation.
Generate 3D meshes from 2D images and retexture them directly in Unity.
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.
Feed-forward neural network implementation in C with SIMD instructions
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.
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
An Educational Framework Based on PyTorch for Deep Learning Education and Exploration
A dead simple neural network. For educational purposes only.