327 Open source projects that are alternatives of or similar to BoostSRL

Matlab library for gradient descent algorithms: Version 1.0.1

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.

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

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

Various cognitive api for machine learning, vision, language intent alalysis. Covers traditional as well as deep learning model design and training.

Age classification from text using PAN16, blogs, Fisher Callhome, and Cancer Forum

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.

Implementing Clustering Algorithms from scratch in MATLAB and Python

My GitHub blog: things you might be interested, and probably not...

GreyCat - Data Analytics, Temporal data, What-if, Live machine learning

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

Bidirectional Helmholtz Machines

A Latent Dirichlet Allocation implementation in Python.

🍃 Using a Neural Network to recognize MNIST digets in JavaScript.

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

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

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

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

No description or website provided.

Machine Learning Demonstrations: A graphical interface to draw data, apply a diverse array of machine learning tools to it, and directly see the results in a visual and understandable manner.

Perform Efficient ML/DL Modelling easily

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

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!

Parallel random matrix tools and complexity for deep learning

No description or website provided.

A random forest

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

Lecture Slides for Introduction to Data Science

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

Signal-Processing-and-Pattern-Classification - Atrial fibrillation & PCG classification

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

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✨💥

Learn the theory, math and code behind different machine learning algorithms and techniques.

The collaboration workspace for Machine Learning

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

.pdf Format Books for Machine and Deep Learning

bitcoin prediction algorithms

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Machine Learning algorithms coded from scratch

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.

JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"

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…

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

Basic Machine Learning implementation with python

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

Exploring sklearn 🌟

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

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).

A Python Package for Density Ratio Estimation

Library for Multi-objective optimization in Gradient Boosted Trees

Heart Disease prediction using 5 algorithms

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

Template codes and examples for Python machine learning concepts

Cloud-native Financial Reinforcement Learning

ugtm: a Python package for Generative Topographic Mapping

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

Univariate and multivariate time series forecasting

Implementations of machine learning algorithm by Python 3