Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Predict movie's IMDB rating

Stock analysis/prediction model using machine learning

Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)

DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images

[TNNLS] Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving

Home battery prediction and charging automation for Home Assistant, supporting many inverter types

learningOrchestra is a distributed Machine Learning integration tool that facilitates and streamlines iterative processes in a Data Science project.

Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and evaluation of an ANN model. (Includes: Case Study Paper, Code)

this is my repository for the quick draw prediction model project

A library & tools to evaluate predictive language models.

Hybrid Time Series using LSTM and Kalman Filtering

Model created for FiveThirtyEight Forecast Competition

深度学习与股票分析预测

[ITSC 2023] Predictive Decision-making Framework with Interaction-aware Motion Forecasting Model

Learning Long-term Visual Dynamics with Region Proposal Interaction Networks (ICLR 2021)

A recommender engine built for a Bay Area online dating website to maximize the successful matches by introducing hybrid recommender system and reverse match technique.

Predictive Incident Management analyses large data sets to identify risk patterns, predict outcomes, and guide teams on effective decision-making.

Comparison of automatic machine learning libraries