406 Open source projects that are alternatives of or similar to sdp

Heart Disease prediction using 5 algorithms

🎯 A comprehensive gradient-free optimization framework written in Python

This a JavaScript Library for the Numerical Javascript and Machine Learning

Monthly Series - Top 10 Machine Learning Articles

Template codes and examples for Python machine learning concepts

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 …

Programmable Decision Tree Framework

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

A detailed tutorial on how to build a traffic light classifier with TensorFlow for the capstone project of Udacity's Self-Driving Car Engineer Nanodegree Program.

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.

Optimizing a Wedding Reception Seating Chart Using a Genetic Algorithm

🤖 Roadmap to becoming a Machine Learning developer in 2020

【数据科学家系列课程】

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

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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

PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)

oneAPI Data Analytics Library (oneDAL)

No description or website provided.

Python learning to rank (LTR) toolkit

Balanced Multiclass Image Classification with TensorFlow on Python.

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

ugtm: a Python package for Generative Topographic Mapping

The best resources around Machine Learning

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

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）.

Using Kalman Filter to Predict Corona Virus Spread

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

Neural Relation Understanding: neural cardinality estimators for tabular data

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

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

book

My main Machine Learning class

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

Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"

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

2020华为软件精英挑战赛

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

No description or website provided.

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.

distfit is a python library for probability density fitting.

Machine learning algorithms for many-body quantum systems

Implementation of the reweighted wake-sleep machine learning algorithm

R Data Structures and Algorithms, published by Packt

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

No description or website provided.

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

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

This project is to convert PortraitFCN+ (by Xiaoyong Shen) from Matlab to Tensorflow, then refine the outputs from it (converted to a trimap) using KNN and ResNet, supervised by Richard Berwick.

Reinforcement Learning at UCLA IPAM RIPS 2018

🙌Kart of 210+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

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

A clean room implementation of Structured Volume Sampling by Bowles and Zimmermann in Unity

How to train a Tensorflow face object detection model

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

Draws an emoji on your face! Powered by Nuxt.js, Tensorflow.js and Posenet

An intelligently dumb calculator that uses machine learning

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

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.