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

Conformalized Quantile Regression

ML algorithm for real-time classification

In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language

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

Machine learning prediction of movies genres using Gensim's Doc2Vec and PyMongo - (Python, MongoDB)

Model verification, validation, and error analysis

MATLAB code for Relevance Vector Machine using SB2_Release_200.

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

Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons

Benefit from new browsers' technologies to speed up your site

An Android app for viewing and predicting the latest World Rugby rankings 🏉

Set model hyperparameters using deterministic, exact algorithms.

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

An intelligently dumb calculator that uses machine learning

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

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

Stacked Generalization (Ensemble Learning)

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

Protein order and disorder data for Keras, Tensor Flow and Edward frameworks with automated update cycle made for continuous learning applications.

Open solution to the Toxic Comment Classification Challenge

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

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

基于遗传算法的BP网络设计，应用背景为交通流量的预测

Extending broom for time series forecasting

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

command line neural network

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

An easy neural network for Java!

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

A neural network library built in JavaScript

Utilities for glmnet

Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction

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

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

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

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

Deep leraning cryptocurrency prediction with blockchain-based dataset

This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.

Software to post-process gridded weather forecasts

implementation of STGCN for traffic prediction in IJCAI2018

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

A Python library for integrating model-based and judgmental forecasting

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

Some of the ML and DL related reading materials, research papers that I've read

Advanced Normalization Tools in R

Discovering known and novel miRNAs from small RNA sequencing data

Tidy, Type-Safe 'prediction()' Methods

NN based lossless compression

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

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

Ordinal regression in Python

R package for fast rolling and expanding linear regression models

Code and models for the manuscript "Predicting Poverty and Developmental Statistics from Satellite Images using Multi-task Deep Learning"

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

Prediction of Premier league standings using Poisson distribution