#Mlp
Showing 34 of 34 repositories tagged #mlp, ranked by stars
Lightning fast C++/CUDA neural network framework
TensorFlow template application for deep learning
:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
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、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）
Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
Efficient, transparent deep learning in hundreds of lines of code.
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
A header-only neural network library for microcontrollers, with partial bare-metal & native-os support.
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?
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.
[CVPR2024 🏆 Best Paper Candidate] CorrMLP: Correlation-aware MLP-based networks for deformable medical image registration
Simple multilayer perceptron c++ implementation.
Allstate Kaggle Competition ML Capstone Project
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"
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。
Repository containing introduction to scikit-learn to provide hands-on problem solving experience for all the methods and models learnt in MLT.
Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"
:octocat: Detection and Prediction of Air quality Index :octocat:
Zero-dependency neural network in a single C header. Copy nerve.h, compile, done. Adam · ReLU · Dropout · Xavier/He · Neuroevolution game AI (Snake · Pong · Flappy Bird). No build system. No dependencies. Runs on Linux, macOS, Windows, and bare-metal.
Just a repository that will house some MLPs and their variants, so to avoid having to reimplement them again and again for different projects (especially RL)
Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons
Vulkan Implementation of NVIDIA's paper Real-time Neural Radiance Caching for Path Tracing.
A pytorch implementation of Fourier Analysis Networks (FAN)
JavaScript implementation of simple multilayer perceptron (MLP)
"A neural network to rule them all, a neural network to find them, a neural network to bring them all and verify if is you !!" (Face recognition tool)
Predicting air pollution level in a specific city
Machine Learning Tool with LSTM and MLP Neural Networks, with CUDA implementation.