feedforward-neural-network
There are 407 repositories under feedforward-neural-network topic.
100/Cranium
🤖 A portable, header-only, artificial neural network library written in C99
tgjeon/Keras-Tutorials
Simple tutorials using Keras Framework
rishikksh20/FNet-pytorch
Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
Somnibyte/MLKit
A simple machine learning framework written in Swift 🤖
KotlinNLP/SimpleDNN
SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks
releaunifreiburg/WellTunedSimpleNets
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
snap-research/MLPInit-for-GNNs
[ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
islem-esi/DeepMalwareDetector
A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.
Ritvik19/pyradox
State of the Art Neural Networks for Deep Learning
kristijanbartol/general-3d-humans
[CVPR 2022 Oral] Generalizable Human Pose Triangulation
MichaelJWelsh/yannl
Yet another neural network library
mravanelli/pytorch_MLP_for_ASR
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.
nipunmanral/MLP-Training-For-MNIST-Classification
Multilayer perceptron deep neural network with feedforward and back-propagation for MNIST image classification using NumPy
srohit0/mida
Selected problems and their solutions from the book on "Machine Intelligence in Design Automation"
donghyeonk/fastText1607
Unofficial Implementation of "Bag of Tricks for Efficient Text Classification", 2016, Armand Joulin et al. (https://arxiv.org/pdf/1607.01759.pdf)
okozelsk/NET
Reservoir computing library for .NET. Enables ESN , LSM and hybrid RNNs using analog and spiking neurons working together.
yunchuankong/GEDFN
GEDFN: Graph-Embedded Deep Feedforward Network
BerkeleyLab/inference-engine
A deep learning library for use in high-performance computing applications in modern Fortran
becxer/pytrain
Machine Learning library for python
dongyx/lnn
A Command-Line Program of Feedforward Neural Networks
tayebiarasteh/DeepLearning_from_scratch
A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.
mapluisch/TripoSR-for-Unity
Generate 3D meshes from 2D images and retexture them directly in Unity.
mvrahden/recurrent-js
[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.
goessl/NeuralNetwork
Very basic neural network implementation.
Shuailong/StockPrediction
An attempt to use financial news to predict stock market
akanshajainn/Sentiment-Analysis-Twitter-word2vec-keras
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.
Arech/nntl
Neural Networks Templates Library
oysteijo/simd_neuralnet
Feed-forward neural network implementation in C with SIMD instructions
devmount/neural-network-pos-tagger
Train and evaluate neural network language models for POS tagging, tag input sentences according to a trained model.
NinaadRao/Multilabel-Image-Classification-using-Contractive-Autoencoder
Implementing contractive auto encoder for encoding cloud images and using that encoding for multi label image classification
dengliangshi/pynnlms
Neural network language models, including feed-forward neural network, recurrent neural network, long-short term memory neural network.
mrbid/CSGO_TENSOR_TRIGGER
A series of machine learning trigger bots for Counter-Strike: Global Offensive (CS:GO).
ajayrao80/CreditCardFraudDetection
An attempt to detect fraud in online transaction in deep neural network using pytorch
Emperor-WS/PyEmber
An Educational Framework Based on PyTorch for Deep Learning Education and Exploration
jharrilim/cybil
[WIP] Feed-Forward Neural Network with WASM bindings [soon™]
Niranjankumar-c/Feedforward_NeuralNetworrks
Build our neural networks from scratch