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scratchML
Implementation of Machine Learning algorithms from scratch in Pythonarks
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 Courseratransformer_jax
JAX implementation of the transformer architecture in 'Attention Is All You Need' from scratchTensorFlow2.0
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