prediction

Statsmodels: statistical modeling and econometrics in Python

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

NeuralProphet: A simple forecasting package

List of papers, code and experiments using deep learning for time series forecasting

🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling

A high-level machine learning and deep learning library for the PHP language.

A neural network library built in JavaScript

Machine Learning Platform and Recommendation Engine built on Kubernetes

MLBox is a powerful Automated Machine Learning python library.

Crane is a FinOps Platform for Cloud Resource Analytics and Economics in Kubernetes clusters. The goal is not only help user to manage cloud cost easier but also ensure the quality of applications. https://gocrane.io/

RNN based Time-series Anomaly detector model implemented in Pytorch.

Header-only library for using Keras (TensorFlow) models in C++.

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

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

A flexible, high-performance carrier for machine learning models（『飞桨』服务化部署框架）

Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.

This repository helps you understand python from the scratch.

Deep neural network framework for multi-label text classification

Introducing neural networks to predict stock prices