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

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

NeuralProphet: A simple forecasting package

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

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

MLBox is a powerful Automated Machine Learning python library.

Introducing neural networks to predict stock prices

Deep neural network framework for multi-label text classification

tfts: Time Series Deep Learning Models in TensorFlow

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

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

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

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

Stacked Generalization (Ensemble Learning)

Alzheimer's Disease Prediction by using ResNet, AlexNet

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

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.

This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.

基于tensorflow lstm模型的彩票预测