jakobhavtorn Goto Github PK

algorithms-and-data-structures

Implementations of various algorithms and data structures

bayesian-optimization

Toy implementations of some Bayesian Optimization algorithms

benchmarking-lvms

Official source code repository for the paper "Benchmarking Generative Latent Variable Models for Speech"

cnn-invariance-equivariance

A small example of how translational equivariance and invariance work in CNNs

computer

Simulation of a computer from scratch in Python based on the Crash Course: Computer Science YouTube series.

es-group

Study group repository for evolutionary strategies

es-rl

Evolutionary computing and variational optimization for training neural networks

euler

Solutions for Project Euler problems

fastapi-example

Example of FastAPI usage

fitbit-data-getter

Bash script for getting personal Fitbit data

gyldendal

Mapping of author created learning objectives to official common academic goals

hamming-codes

Some fun with Hamming Codes

hvae-oodd

Official source code repository for the ICML 2021 paper "Hierarchical VAEs Know What They Don't Know"

jakobhavtorn.github.io

Personal website for Jakob Havtorn

master-thesis

My Master's Thesis on Variational Optimization of Neural Networks written at the Technical University of Denmark

nn

Implementation of neural network modules in numpy

phd-thesis

philosophize_this

Fun with transcripts of Philosophize This!

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-utilities

Utilities for pytorch models, dataloaders etc.

scholarscrape

Interfacing with SemanticScholar API

seam-carving

Fun with seam carving

seq-mc

Sequential Monte Carlo Methods PhD Course

switch_cuda.fish

A script to switch CUDA version for the fish

tour-of-go

Notes and exercises from A Tour of Go

transformer

Transformer seq2seq model, program that can build a language translator from parallel corpus

uqdl

Uncertainty Quantification in Deep Learning

v139

Proceedings of ICML 2021

vari

Out of distribution modelling with variational methods

vdvae

Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"