177 Open source projects that are alternatives of or similar to Fall-Detection-Dataset

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

经典机器学习算法的极简实现

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

A document covering machine learning basics. 🤖📊

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

simple tutorial on Machine Learning with Scikitlearn

⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

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

Capstone Project: Assist the blind in moving around safely by warning them of impending obstacles using depth sensing, computer vision, and tactile glove feedback.

Interactive SVM Explorer, using Dash and scikit-learn

ADL and Fall Detection

Building Annoy Index on Apache Spark

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS

Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

新浪微博情感分析应用

Automatic license plate recognition for Indonesian plate (White on black)

Classification of Breast Cancer diagnosis Using Support Vector Machines

A practice project for machine learning and stop price prediction

real-time Vehicle Detection( tiny YOLO ver) and HOG+SVM method

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）

Comparison of active site and full kinase sequences for drug-target affinity prediction and molecular generation. Full paper: https://pubs.acs.org/doi/10.1021/acs.jcim.1c00889

Gaussian Process package based on data augmentation, sparsity and natural gradients

ROS node for real-time FCNN depth reconstruction

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

Open Source Landmarking Library

ArmorPlus is a mod based on exploration, killing, building, getting geared up, fight the bosses and explore the depths of your worlds.

SimpleSvmHook is a research purpose hypervisor for Windows on AMD processors.

Code for ECCV 2020 "DVI: Depth Guided Video Inpainting for Autonomous Driving"

A minimalistic educational hypervisor for Windows on AMD processors.

Matlab library for gradient descent algorithms: Version 1.0.1

Scene text detection and recognition based on Extremal Region(ER)

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

LIBSVM bindings for Julia

machine learning algorithm

Superimposes your image into a 3D world using Metal+Arkit

LinearGo (Go wrapper for LIBLINEAR): A Library for Large Linear Classification

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The R package for SVM with GPU architecture based on the GTSVM software

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

Animated Visualizations of Popular Machine Learning Algorithms

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Visual Defect Detection on Boiler Water Wall Tube Using Small Dataset

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

机器学习与深度学习算法示例

An Interactive Approach to Understanding Supervised Learning Algorithms

整理记录本人担任课程助教设计的四个机器学习实验，主要涉及简单的线性回归、朴素贝叶斯分类器、支持向量机、CNN做文本分类。内附实验指导书、讲解PPT、参考代码，欢迎各位码友讨论交流。

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

hook msr by amd svm

Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.

liblinear bindings for Go

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

OCR Machine Learning in python

This project is to convert PortraitFCN+ (by Xiaoyong Shen) from Matlab to Tensorflow, then refine the outputs from it (converted to a trimap) using KNN and ResNet, supervised by Richard Berwick.