306 Open source projects that are alternatives of or similar to Prmlt

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

基于机器学习和OCR的车牌识别系统 @fujunhao

The best resources around Machine Learning

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

Implementation of the reweighted wake-sleep machine learning algorithm

Python learning to rank (LTR) toolkit

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

🤖 Roadmap to becoming a Machine Learning developer in 2020

Optimizing a Wedding Reception Seating Chart Using a Genetic Algorithm

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

Implementation of cs229(Machine Learning taught by Andrew Ng) in python.

shell script for openCV installation and configuration in linux based system. Most easy way to configue openCV, you only need to run opencv.sh shell file.

oneAPI Data Analytics Library (oneDAL)

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

Machine learning algorithms for many-body quantum systems

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

Implementation of a Partial Least Squares Regressor

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning

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）.

A Data science challenge - "Mekktronix Sales Forecasting" organised by ZS through Hackerearth platform. Rank: 223 out of 4743.

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.

A set of tools to use in Microsoft Azure Form Recognizer and OCR services.

Tensorflow implementation of Restricted Boltzmann Machine

PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

cuDF - GPU DataFrame Library

Mathematica implementations of machine learning algorithms used for prediction and personalization.

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under choice of GPL-2 or GPL-3 license.

Minimal and clean examples of machine learning algorithms implemented in Julia

用python和sklearn两种方法实现李航《统计学习方法》中的算法

darknet neural network addon for openFrameworks

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

A flexible artificial neural network builder to analyse performance, and optimise the best model.

R Data Structures and Algorithms, published by Packt

Algorithms And DataStructure Implemented In Python & CPP, Give a Star 🌟If it helps you

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A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

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

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Reinforcement Learning at UCLA IPAM RIPS 2018

Reimplementation of DRAW

A Python package built on sklearn for running a series of classification Algorithms in a faster and easier way.

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

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

Plain python implementations of basic machine learning algorithms

All the code for a series of Medium articles on Approximate Nearest Neighbors

Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.

https://machinelearning.wtf/ - An online glossary of machine learning terms.

Developing Options Trading Strategies using Technical Indicators and Quantitative Methods

A PureScript, browser-based implementation of simple linear regression.

Implementing machine learning algorithms from scratch.

🎯 A comprehensive gradient-free optimization framework written in Python

Monthly Series - Top 10 Machine Learning Articles

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

A curated list of Monte Carlo tree search papers with implementations.

book