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)
:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
[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
[ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...
Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
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
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
[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
Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
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)
Recent Advances in MLP-based Models (MLP is all you need!)
😀A toolbox for using complex valued standard network modules in PyTorch.
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.
This repo contains all the notebooks mentioned in blog.
Allstate Kaggle Competition ML Capstone Project
A resource-conscious neural network implementation for MCUs
Simple multilayer perceptron c++ implementation.
Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis"
Malware Classification using Machine learning
run a multitude of classifiers on you data and get an AUC report
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。
several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]
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.