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advml-fall-18

A collection of useful files for the Advanced Machine Learning (GR5242) Fall 2018 course.

apps

APPS: Automated Programming Progress Standard (NeurIPS 2021)

cosmic-tarantula

dotfiles

Dot files for Evan Chen (Arch Linux on i3)

gpy

Gaussian processes framework in python

hackbridge

Hackbridge Supply Chains Project

interactive_formal_proofs

Topology

kernel_proxies

There is where we develop code for the kernel proxy project.

kooplearn

A Python package to learn the Koopman operator.

maths-notes

Lecture notes from Cambridge maths

maths-tripos-questions

Archive of questions from the Cambridge Mathematics Tripos

ml-seminar-ucl

Supplementary codes for the message passing chapter in the UCL CS MSc course "Machine Learning Seminar"

mmd-gradient-flow

my_book

nanodl

A Jax-based library for designing and training transformer models from scratch.

napkin

An Infinitely Large Napkin

nn4nlp-code

Code Samples from Neural Networks for NLP

pgmax

Loopy belief propagation for factor graphs on discrete variables in JAX

proteinmpnn

Code for the ProteinMPNN paper

spearmint

Spearmint Bayesian optimization codebase

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023