mlp

TensorFlow template application for deep learning

The deeplearning algorithms implemented by tensorflow

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

Efficient, transparent deep learning in hundreds of lines of code.

Lightning fast & tiny C++/CUDA neural network framework

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）

Can a neural network predict your next move on a game of rock, paper and scissor?

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

各种深度学习结构、模型和技巧的集合

🤖 PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

Allstate Kaggle Competition ML Capstone Project

run a multitude of classifiers on you data and get an AUC report

This repo contains all the notebooks mentioned in blog.

several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]

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。

Avito Demand Prediction Challenge 🏬

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

Recent Advances in MLP-based Models (MLP is all you need!)

Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn

Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis"

Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications

Convolutional Neural Networks in Go

Official implementation of MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis

Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.

Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons

Simple multilayer perceptron c++ implementation.

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.

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.

4 small homeworks