Clem's Projects
:classical_building: Curated list of artificial-intelligence related summer schools.
:robot: Implementation and short explanation of basic RL algorithms, reproducing the simulations from Andrej Kaparthy's REINFORCEjs library.
:bar_chart: Comparison of Bayesian hyperparameter optimization libraries in python
:avocado: List of awesome food recipes.
:mag: Labs, quizzes, answers and explanations for Coursera specialisations and courses
:dna: Process repository for my master thesis attacking drug response prediction on cancer cell-lines using bi-modal graph neural networks
My kaggle notebooks
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
:microscope: Choose a academic research papers and get a TL;DR for it in seconds.
🐍 Implementation of the REINFORCEjs library from Kaparthy in Python
:evergreen_tree: Teaching an AI to solve Sokoban using AlphaGo-Zero style RL & Single-Player MCTS.