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

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

This repository helps you learn Python and Machine Learning from scratch.

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.

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

:oncoming_automobile: "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

Real-time object detection on Android using the YOLO network with TensorFlow

Deep neural network framework for multi-label text classification

Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2

A tool that uses advanced Monte Carlo simulations and Turbit parallel processing to create possible Bitcoin prediction scenarios.

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

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

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

Leetcode Rating Predictor built with Node. Browser extension and web interface.

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

(CVPR 2022) A minimalist, mapless, end-to-end self-driving stack for joint perception, prediction, planning and control.

Predict time-series with one line of code.