872 Open source projects that are alternatives of or similar to mnist-challenge

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

A repository for recording the machine learning code

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Playing with MNIST. Machine Learning. Generative Models.

Fast and Easy Infinite Neural Networks in Python

Python code for common Machine Learning Algorithms

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

This is a Project Page of 'Towards a complete 3D morphable model of the human head'

Plain python implementations of basic machine learning algorithms

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）

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Deep Learning From Scratch

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

经典机器学习算法的极简实现

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

Quick-Data-Science-Experiments

Interactive Visual Machine Learning Demos.

Korean Easy Data Augmentation

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

Gaussian processes and Bayesian optimization for images and hyperspectral data

An optimizer that trains as fast as Adam and as good as SGD in Tensorflow

Operating System development experiment in Ada

Neural nets for MNIST classification, simple single layer NN, 5 layer FC NN and convolutional neural networks with different architectures

A Python package to build predictive linear and logistic regression models focused on performance and interpretation

Some usefull info when reverse engineering Kernel Mode Anti-Cheat

R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax.

Probabilistic Programming with Gaussian processes in Julia

All about docker commands

Machine Learning models from scratch with a better visualisation

Principal component analysis (PCA) in Ruby

32bit OS/kernel built from scratch with POSIX.1 compliance

Kernel Test Framework

64 bit monolithic nt-style kernel

Adversarial Discriminative Domain Adaptation in Chainer

ResNet for Cifar10

Open Set Recognition

Hobby Operating System

Open Source for Allwinner V3S

This is a port of the original WireGuard UI bits as implemented by Netgate in pfSense 2.5.0 to a package suitable for rapid iteration and more frequent updating on future releases of pfSense.

Deep Learning Models implemented in python.

Migrated to: https://gitlab.com/Oslandia/osm-data-classification

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น [2020]

Simple neural network implementation in Rust

微信公众号数字识别

An exploit for CVE-2016-7255 on Windows 7/8/8.1/10(pre-anniversary) 64 bit

Reimplementation of the Nintendo Switch firmware

Yet another *nix distro fetching program, but less complex.

Main kernel tree

A simple "Unix-like" kernel trying to be POSIX compliant

Port of "DR.CHECKER : A Soundy Vulnerability Detection Tool for Linux Kernel Drivers" to Clang/LLVM 10 and Linux Kernel

me going through JamesM's kernel development tutorials

Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy, TensorFlow, PyTorch).

Source code and data for ACL 2019 Long Paper ``Semantic Parsing with Dual Learning".

Nautilus Aerokernel

Zen Patched Kernel Sources

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

Tensorflow implementation of the Restricted Boltzmann Machine

A 32bit multiboot OS kernel for IA32 (PC/AT) systems.