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.

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

A neural network library built in JavaScript

MLBox is a powerful Automated Machine Learning python library.

Machine Learning Platform and Recommendation Engine built on Kubernetes

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

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

This repository helps you understand python from the scratch.

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

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

🚘 "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

tfts: Time Series Deep Learning Models in TensorFlow

Introducing neural networks to predict stock prices