457 Open source projects that are alternatives of or similar to pyHSICLasso

A notebook for machine learning interview

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Soomvaar is the repo which 🏩 contains different collection of 👨‍💻🚀code in Python and 💫✨Machine 👬🏼 learning algorithms📗📕 that is made during 📃 my practice and learning of ML and Python✨💥

An intuitive implementation of spectral clustering on matlab

Machine Learning Concepts with Concepts

Continuously Learning Artificial Intelligence Rules Engine (Claire) for Smart Homes

No description or website provided.

All content related to machine learning from my blog

📊 Naive Bayes classifier for JavaScript

This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

A collection of Methods and Models for various architectures of Artificial Neural Networks

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

Implementations of normalizing flows using python and tensorflow

Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

Code to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.

The repository provides usefull python scripts for ML and data analysis

Tensorflow implementation of the Restricted Boltzmann Machine

The collaboration workspace for Machine Learning

🏆 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.

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

Feature selection for maximizing expected cumulative reward

Python Clustering Algorithms

sources for daal4py - a convenient Python API to oneDAL

Programmable Decision Tree Framework

Basic Machine Learning implementation with python

BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

Intention Mining in Social Networking. It Mines Emotions and polarity for the given keyword . For the keyword it searchers the twitter for the comments and analyzes the results for various events such as Election results, Sports prediction Movie ratings, Breaking news events such as demonetisation and many more. Bayes , Maximum Entropy and Hidde…

📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.

Model training, custom generative function and training for raplyrics.eu - A rap music lyrics generation project

An extensive machine learning library, made from scratch (Python).

This repository contains books from different topics and perfect enough to give developers a boost in understanding the concepts of Data Science and Artificial Intelligence(other topics are also included but main highlights are these two).

Exemplary, annotated machine learning pipeline for any tabular data problem.

A rehost of the python version of SPArse Modeling Software (SPAMS)

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

No description or website provided.

FBP项目全称FootBallPrediction，历经9个月完成的足球比赛预测项目。项目结合大数据+机器学习，不断摸索开发了一个程序。程序根据各大公司赔率多维度预测足球比赛结果（包含胜和不胜）。机器学习用的是自己建立的“三木板模型”算法，已在国家期刊发表论文并被万方数据库收录，详见_ML_文件。目前准确率可达80%。该项目在自己创建的微信群里已经吸引了很多人，附件为群讨论截图，并且每天均有部分人根据预测结果参考投注竞彩，参考的人都获得了相应的收益。 现在想通过认识更多的有识之士，一起探索如何将项目做大做强，找到合伙人，实现共赢。希望感兴趣的同仁联系本人，微信号acredjb。公众号AI金胆（或AI-FBP），每天都有程序预测的足球比赛。程序优势请看Advantages和README文件。程序3.0版本：（第三轮目前13中12） 8月10日：13让负（正确） 8月11日：27让负（正确） 8月12日：11让负（正确） 8月13日：6胜（不正确） 8月14日：25让负（正确） 8月15日：无预测 8月16日：1胜（正确） 8月17日：6让负（正确） 8月18日：16胜（正确） 8月19日：34让负（正确） ... 1.0版本（第一轮为11中9） 2.0版本（第二轮13中11）.

Nonlinear Nonparametric Statistics

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

a tool for writing branching nonlinear stories.

Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models

Fatou sets in Julia (Fractals, Newton basins, Mandelbrot)

Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures

A classified list of meta learning papers based on realm.

Plain python implementations of basic machine learning algorithms

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

code for "A global pathway selection algorithm for the reduction of detailed chemical kinetic mechanisms" (Gao et al., CNF'16)

A repo with tutorials for algorithms from scratch

Search the best feature subset for you classification mode

Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

A PureScript, browser-based implementation of LDA topic modeling.

Classifying time series using feature extraction

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

An open source library for the GPU-implementation of L-BFGS-B algorithm

Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage and total time taken during training the network.

Bidirectional Helmholtz Machines

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI