NBA players individual performance perdictions using Neural Networks. Comparison between LSTM and Feed Forward Architectures. Created by Meitar Bach, Mai Elenberg and Lior Ben-Ami
Generative Adversarial Networks for Stock Market prediction
15+ Machine/Deep Learning Projects in Ipython Notebooks
Implementation of "Analysing Mathematical Reasoning Abilities of Neural Models"
Predict NBA games winners with machine learning
Kaggle Competition for Predicting NCAA Basketball Tourney Games
Google Colaboratory Notebooks and Repositories (by @firmai)
We implement a quantum-classical hybrid QLSTM model by incorporating quantum variational layers i...