190 Open source projects that are alternatives of or similar to ML-Experiments

Matlab library for gradient descent algorithms: Version 1.0.1

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

Simple machine learning library / 簡單易用的機器學習套件

Code for Tensorflow Machine Learning Cookbook

100 Days of ML Coding

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

Regression, Scrapers, and Visualization

This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.

Python code for common Machine Learning Algorithms

machine learning algorithm

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）

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

Lesson material on data science and machine learning topics/concepts

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

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

Python implementation of Andrew Ng's ML course projects

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.

hook msr by amd svm

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

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

Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking

15+ Machine/Deep Learning Projects in Ipython Notebooks

SecMML: Secure MPC(multi-party computation) Machine Learning Framework

⛈️ Rumble 1.11.0 "Banyan Tree"🌳 for Apache Spark | Run queries on your large-scale, messy JSON-like data (JSON, text, CSV, Parquet, ROOT, AVRO, SVM...) | No install required (just a jar to download) | Declarative Machine Learning and more

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

提取图像的灰度共生矩阵（GLCM），根据GLCM求解图像的概率特征，利用特征训练SVM分类器，对目标分类

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

🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .

Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset

A practice project for machine learning and stop price prediction

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。

Linear SVM with PyTorch

Visual Defect Detection on Boiler Water Wall Tube Using Small Dataset

Demonstration of using Naive Bayes to predict user inputs with Kotlin 1.2 std-lib

机器学习与深度学习算法示例

Open Source Landmarking Library

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

Benchmarking and Visualization Toolkit for Penalized Cox Models

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

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

Interactive SVM Explorer, using Dash and scikit-learn

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).

Implementation of Accurate Online Support Vector Regression in Python.

A minimalistic educational hypervisor for Windows on AMD processors.

This is my Third Year Project for face recognition using OpenCV

A simple implementation of the LOESS algorithm using numpy

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

x86_64 AMD kernel optimized for performance & hypervisor usage

The homework of my 3rd-term

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。

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

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

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

🏭 JavaScript Machine Learning Toolkit

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

A computer vision project, based on cimg library and svm training, to classify handwriting number.

liblinear bindings for Go

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

文本分类基准测试

The Operator Splitting QP Solver