Popular GitHub Repositories for Prediction

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

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

A lightweight header-only library for using Keras (TensorFlow) models in C++.

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

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

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

FBP项目全称FootBallPrediction，历经9个月完成的足球比赛预测项目。项目结合大数据+机器学习，不断摸索开发了一个程序。

Predict time-series with one line of code.

Tool that predicts the outcome of a Dota 2 game using Machine Learning

Mathematica implementations of machine learning algorithms used for prediction and personalization.

Curated Tensorflow code resources to help you get started with Deep Learning.

Deep Learning for Vision-based Prediction

Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.

CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.

This is a tracking repo for all our AI projects. ? ??

This project pulls past game data from api-football, and uses this to predict the outcome of future premier league matches with the use of classical machine learning techniques.

[ICRA 2024] Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning

Alzheimer's Disease Prediction by using ResNet, AlexNet

[ICCV & CVPR Workshop] Learning-enabled Interactive Prediction and Planning Framework for Autonomous Vehicles

Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.