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

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

R package for fitting joint models to time-to-event data and multivariate longitudinal data

Software for verifying weather forecasts

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

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

No description or website provided.

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

An introductory statistics course for social scientists, using Stata

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

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

If you can measure it, consider it predicted

Sequential Tree Sampler for online phylogenetics

Earthquake Prediction Challenge with LightGBM and XGBoost

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

User Behavior Prediction for everyone

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.

Python Implementation of Decay Replay Mining (DREAM)

Software for prediction of plasmid sequences in metagenomic assemblies

Fundamental cryptocurrency analysis

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

Predict time-series with one line of code.

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).

Helpers for regression analyses using `{broom}` & `{easystats}` packages 📈 🔍

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

A practice project for machine learning and stop price prediction

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

Age and Gender prediction using Keras

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

ML algorithm for real-time classification

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

Model verification, validation, and error analysis

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

Benefit from new browsers' technologies to speed up your site

Set model hyperparameters using deterministic, exact algorithms.

An intelligently dumb calculator that uses machine learning

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

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

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

基于遗传算法的BP网络设计，应用背景为交通流量的预测

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

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

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

Utilities for glmnet

Creating a model to analyze and predict the trend of the prices of gold.

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

Deep leraning cryptocurrency prediction with blockchain-based dataset

Software to post-process gridded weather forecasts

Streaming, Memory-Limited, r-truncated SVD Revisited!

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

Advanced Normalization Tools in R

Tidy, Type-Safe 'prediction()' Methods

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

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

R package for fast rolling and expanding linear regression models

Pyspark in Google Colab: A simple machine learning (Linear Regression) model

This Project is an applicaton based on Computer vision and Machine learning implementation using regression supervised classification.

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.

➰ A Facial Recognition tool based on Open-CV.

Example CNN on CIFAR-10 classification

Video prediction using lstm and unet