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arks

Distributionally robust optimization with the Adversarially Robust Kernel Smoothing (ARKS) algorithm

arxiv_metadata

metadata of papers on arXiv from 2007 to June 2019

babyai

BabyAI platform. A testbed for training agents to understand and execute language commands.

babygie

PPO-based A2C agent with a Graph Instruction Encoder; evaluation of sample efficiency and generalisation on the BabyAI environment

binaryclassifiers

Experiments with binary classifiers; estimating their sample complexity and ways to generalise to non-linear multi-class classification.

certifiable-distributional-robustness

Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)

christinakouridi.github.io

Personal website built using Hugo

courseraml

Python implementation of Andrew Ng's Machine Learning course on Coursera

kde

Speeding up Gaussian Kernel Density Estimation with Numba

mcmc

Decrypting substitution ciphers with MCMC

multiagent_gym

Adaptation of DQN, DDQN and COMA for multi-agent Gym environments

nyc311

procgen

Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments

scratchml

Implementation of Machine Learning algorithms from scratch in Python

tensorflow2.0

Learning new features of TensorFlow 2.0 by implementing simple ML algorithms

transformer_jax

JAX implementation of the transformer architecture in 'Attention Is All You Need' from scratch

wae

Wasserstein Auto-Encoders