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
Model created for FiveThirtyEight Forecast Competition
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.
Comparison of automatic machine learning libraries
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