There are 5 repositories under mlp topic.
Lightning fast C++/CUDA neural network framework
TensorFlow template application for deep learning
The deeplearning algorithms implemented by tensorflow
PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022
Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
[ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...
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)
[ICLR'22 Oral] Implementation of "CycleMLP: A MLP-like Architecture for Dense Prediction"
[ECCV 2022] R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis
[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
A collection of SOTA Image Classification Models in PyTorch
Can a neural network predict your next move on a game of rock, paper and scissor?
各种深度学习结构、模型和技巧的集合
Official implementation of MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis (IEEE MLSP 2021)
Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
Recent Advances in MLP-based Models (MLP is all you need!)
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.
😀A toolbox for using complex valued standard network modules in PyTorch.
This repo contains all the notebooks mentioned in blog.
Allstate Kaggle Competition ML Capstone Project
Simple multilayer perceptron c++ implementation.
run a multitude of classifiers on you data and get an AUC report
Malware Classification using Machine learning
Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis"
several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]
A resource-conscious neural network implementation for MCUs
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.