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scratchML
Implementation of Machine Learning algorithms from scratch in Pythonmultiagent_gym
Adaptation of DQN, DDQN and COMA for multi-agent Gym environmentsarks
Distributionally robust optimization with the Adversarially Robust Kernel Smoothing (ARKS) algorithmMCMC
Decrypting substitution ciphers with MCMCbabygie
PPO-based A2C agent with a Graph Instruction Encoder; evaluation of sample efficiency and generalisation on the BabyAI environmentcourseraML
Python implementation of Andrew Ng's Machine Learning course on CourseraTensorFlow2.0
Learning new features of TensorFlow 2.0 by implementing simple ML algorithmsarXiv_metadata
metadata of papers on arXiv from 2007 to June 2019binaryClassifiers
Experiments with binary classifiers; estimating their sample complexity and ways to generalise to non-linear multi-class classification.kde
Speeding up Gaussian Kernel Density Estimation with NumbaLove Open Source and this site? Check out how you can help us