Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
[TNNLS] Differentiable Integrated Prediction and Planning Framework for Urban Autonomous Driving
Predict movie's IMDB rating
Stock analysis/prediction model using machine learning
Home battery prediction and charging automation for Home Assistant, supporting many inverter types
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)
DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks (ICLR 2021)
[ITSC 2023] Predictive Decision-making Framework with Interaction-aware Motion Forecasting Model
learningOrchestra is a distributed Machine Learning integration tool that facilitates and streamlines iterative processes in a Data Science project.
A library & tools to evaluate predictive language models.
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
Hybrid Time Series using LSTM and Kalman Filtering
Forecasting high-impact research topics via machine learning on evolving knowledge graphs
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.
Model created for FiveThirtyEight Forecast Competition
Comparison of automatic machine learning libraries
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