172 Open source projects that are alternatives of or similar to exageostat

Earthquake Prediction Challenge with LightGBM and XGBoost

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

Slides and notebooks for my tutorial at PyData London 2018

📈 Bitcoin bull run peak prediction project (price and date)

Predict time-series with one line of code.

PF: a header only template library for fast particle filtering!

User Behavior Prediction for everyone

This app predicts the age of a person from the picture input using camera or photos gallery. The app uses Core ML framework of iOS for the predictions. The Vision library of CoreML is used here. The trained model fed to the system is AgeNet.

Fundamental cryptocurrency analysis

Software for prediction of plasmid sequences in metagenomic assemblies

This Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1997).

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

天池“资金流入流出预测——挑战baseline”的解决方案，线上效果143.5

Video prediction using lstm and unet

R package for online training of regression models using FTRL Proximal

No description or website provided.

Example CNN on CIFAR-10 classification

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

Python 易經筮法、大衍之數、六十四卦、六爻、京房易、爻辭、日期占卦、占卜。A python package of Ichingshifa (also known as Yarrow Stalks Divination).

Fast, memory-efficient 3D spline interpolation and global kriging, via RBF (radial basis function) interpolation.

RTE+RRTMGP is a set of codes for computing radiative fluxes in planetary atmospheres.

Analysis of digital elevation models (DEMs)

Advanced Normalization Tools in R

GeoStats.jl tutorials

Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc

David Mackay's book review and problem solvings and own python codes, mathematica files

Short introduction to Bayesian statistical modelling with PyMC3

C# SGP4 Satellite Prediction Library. Load satellites from TLEs, convert between coordinate systems and reference frames, observe satellites from ground stations, and more.

JupyterBook source for The Climate Laboratory

Geostatistics in Python

Simple stock & cryptocurrency price forecasting console application, using PHP Machine Learning library (https://github.com/php-ai/php-ml)

Deep leraning cryptocurrency prediction with blockchain-based dataset

🔮 Use TensorFlow models in Go to evaluate Images (and more soon!)

Age and Gender Estimation Using Convolutional Neural Network

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

A machine learning project to predict NCAA Men's Basketball outcomes

The official class webpage for Statistics 422/722 taught at Wharton in the Spring of 2017

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

Software for verifying weather forecasts

Benefit from new browsers' technologies to speed up your site

Python Implementation of Decay Replay Mining (DREAM)

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

Model of an idealized Moist Atmosphere: Intermediate-complexity General Circulation Model with full radiation

A library for machine learning that builds predictions using a linear regression.

基于遗传算法的BP网络设计，应用背景为交通流量的预测

Next Word Prediction using n-gram Probabilistic Model with various Smoothing Techniques

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

Serving a keras model (neural networks) in a website with the python Django-REST framework.

Codes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network

The Hector Simple Climate Model

An integrated framework in R for textual sentiment time series aggregation and prediction

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

Software to post-process gridded weather forecasts

➰ A Facial Recognition tool based on Open-CV.

This toolkit helps companies and financial institutions to assess the temperature alignment of current targets, commitments, and investment and lending portfolios, and to use this information to develop targets for official validation by the SBTi. See the wiki for a change log.

ARIMA, SARIMA, SARIMAX and AutoARIMA models for time series analysis and forecasting in the browser and Node.js

No description or website provided.

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

This script is used to scrap images from the Internet to classify 5 common noodle "mee" dishes in Singapore. Wanton Mee, Bak Chor Mee, Lor Mee, Prawn Mee and Mee Siam.

Julia package for fitting mixed-effects models with flexible random/repeated covariance structure.