882 Open source projects that are alternatives of or similar to MachineLearningSeries

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.

Second Project of the Udacity Self-Driving Car Nanodegree Program

In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.

Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking

.pdf Format Books for Machine and Deep Learning

An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification

A super-fast and scalable Random Forest library based on fast histogram decision tree algorithm and distributed bagging framework. It can be used for binary classification, multi-label classification, and regression tasks. This library provides both Python and command line interface to users.

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Python toolkit for characterizing Coal and Open-pit surface mining impacts on American Lands

All content related to machine learning from my blog

Different types of data analytics projects : EDA, PDA, DDA, TSA and much more.....

A list of popular deep learning models related to classification, segmentation and detection problems

Darwin C++ and Python Machine Learning Framework for Cyber Security

Data Visualization and Machine Learning with Iris Dataset.

A learned index structure

Python module for performing linear regression for data with measurement errors and intrinsic scatter

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.

PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.

Classification of WAV files from cats and dogs

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

Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.

🤖 An authorial collection of fundamental python recipes on Machine Learning and Artificial Intelligence.

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

a collection of modern sparse (regularized) linear regression algorithms.

Demo of basic machine learning models in python with Jupter Notebook

Topic modelling on financial news with Natural Language Processing

O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian

KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

This is the official implementation for the paper 'AutoEncoder by Forest'

Drug effect prediction using neural network

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Some parts of my code for the Computer Vision Kaggle Bengali AI Handwritten Grapheme Classification competition

No description or website provided.

Social Signal Processing for Android

A Python Package for Density Ratio Estimation

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

Code for NeurIPS 2019 Paper

Machine Learning University: Decision Trees and Ensemble Methods

Machine Learning library written in Python and NumPy.

基于机器学习和OCR的车牌识别系统 @fujunhao

Public home of pycorels, the python binding to CORELS

An open-source semi-automated processing chain for urban OBIA classification.

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

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

Template codes and examples for Python machine learning concepts

Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18

【数据科学家系列课程】

PROSAC algorithm in python

A notebook for machine learning interview

Kaggle Titanic example

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

📚A Multi-Nomial Classification of Iris Dataset.

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

Focal Loss of multi-classification in tensorflow

A flexible Python front-end inference SDK based on TensorRT

A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.