A comprehensive toolkit and benchmark for tabular data learning, featuring 30 deep methods, more than 10 classical methods, and 300 diverse tabular datasets.
ML models + benchmark for tabular data classification and regression
Tabular methods for reinforcement learning
Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.
[ICML 2024] BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model
R.L. methods and techniques.
Modular Names Classifier, Object Oriented PyTorch Model
First task for my Reinforcement Learning class in Deusto. The research paper the main RL algorithms applied on the Frozen Lake env provided by GymOpenAI. Paper is avaible at:
This is a python script file that translates tree-graph information stored in a .txt file to complicated LaTeX code, which can be compiled into a pretty tree graph in LaTeX editor (ex. Overleaf).
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