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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
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.
This repository helps you learn Python and Machine Learning from scratch.
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
MLBox is a powerful Automated Machine Learning python library.
A neural network library built in JavaScript
Machine Learning Platform and Recommendation Engine built on Kubernetes
RNN based Time-series Anomaly detector model implemented in Pytorch.
A lightweight 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.
A flexible, high-performance carrier for machine learning models（『飞桨』服务化部署框架）
🤖 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
Deep neural network framework for multi-label text classification