mlp
There are 818 repositories under mlp topic.
NVlabs/tiny-cuda-nn
Lightning fast C++/CUDA neural network framework
tobegit3hub/tensorflow_template_application
TensorFlow template application for deep learning
xiaohu2015/DeepLearning_tutorials
The deeplearning algorithms implemented by tensorflow
sail-sg/poolformer
PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
BR-IDL/PaddleViT
:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
google-research/maxim
[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
Renovamen/Speech-Emotion-Recognition
Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别
chengtan9907/OpenSTL
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
jeya-maria-jose/UNeXt-pytorch
Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022
omerbsezer/Fast-Pytorch
Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
google-research/maxvit
[ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...
zhengyima/mnist-classification
Pytorch、Scikit-learn实现多种分类方法,包括逻辑回归(Logistic Regression)、多层感知机(MLP)、支持向量机(SVM)、K近邻(KNN)、CNN、RNN,极简代码适合新手小白入门,附英文实验报告(ACM模板)
ShoufaChen/CycleMLP
[ICLR'22 Oral] Implementation of "CycleMLP: A MLP-like Architecture for Dense Prediction"
yechengxi/LightNet
Efficient, transparent deep learning in hundreds of lines of code.
snap-research/R2L
[ECCV 2022] R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis
jczic/MicroMLP
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
vztu/maxim-pytorch
[CVPR 2022 Oral] PyTorch re-implementation for "MAXIM: Multi-Axis MLP for Image Processing", with *training code*. Official Jax repo: https://github.com/google-research/maxim
sithu31296/sota-backbones
A collection of SOTA Image Classification Models in PyTorch
victorqribeiro/jokenpo
Can a neural network predict your next move on a game of rock, paper and scissor?
TilliFe/Infermo
Tensors and dynamic Neural Networks in Mojo
whyisyoung/CADE
Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
ypwhs/deeplearning-models
各种深度学习结构、模型和技巧的集合
neosapience/mlp-singer
Official implementation of MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis (IEEE MLSP 2021)
haofanwang/awesome-mlp-papers
Recent Advances in MLP-based Models (MLP is all you need!)
Ankit-Kumar-Saini/Coursera_Deep_Learning_Specialization
Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.
XinyuanLiao/ComplexNN
😀A toolbox for using complex valued standard network modules in PyTorch.
dudeperf3ct/DL_Notebooks
This repo contains all the notebooks mentioned in blog.
dnkirill/allstate_capstone
Allstate Kaggle Competition ML Capstone Project
davidalbertonogueira/MLP
Simple multilayer perceptron c++ implementation.
pratikpv/malware_detect2
Malware Classification using Machine learning
alvarouc/polyssifier
run a multitude of classifiers on you data and get an AUC report
GiorgosXou/NeuralNetworks
A resource-conscious neural network implementation for MCUs
louisowen6/SENN
Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis"
mz24cn/clnet
OpenCL for Nets - A Deep Learning Framework based on OpenCL, written by C++. Supports popular MLP, RNN(LSTM), CNN(ResNet). Friendly debugger. Transparent data. No library dependencies. 基于OpenCL的深度学习计算框架,C++开发,支持多层感知器,长短时记忆模型,卷积神经网络,残差网络。调试方便,数据透明。无外部依赖。
scofield7419/basic_NNs_in_frameworks
several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]
vishalshar/Audio-Classification-using-CNN-MLP
Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.