jasperdelandsheere Goto Github PK

bayesian-flow-networks

This is the official code release for Bayesian Flow Networks.

boosting-gnns

Boosting GNNs with Graph Transformations

diterpene_classification

e3_diffusion_for_molecules

g-schnet

G-SchNet - a generative model for 3d molecular structures

jasperdelandsheere.github.io

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

kme-mmd-demo

A short demo on the Maximum Mean Discrepancy (MMD)

lumos-coding-station-workshop

Repo for the coding station workshop on 17/04/2024

makemore-playground

Building out a modern Tranformer language model based on Andrej Karpathy's The spelled-out intro to language modeling: building makemore.

micrograd-playground

Playing around with micrograd from Andrej Karpathy

schnetpack-gschnet

G-SchNet extension for SchNetPack

simple-mlp

Creating a simple MLP from scratch for learning purposes

sp-mpnn

Implementation of the SPN model and the experiments from the LoG 2022 paper "Shortest Path Networks for Graph Property Prediction".

stable-diffusion-from-scratch

My notes on understanding latent diffusion, coding along with Umar Jamil's video, playing around

transformer-from-scratch

My notes on understanding transformers, coding along with Umar Jamil's video, playing around

triton-puzzles

Puzzles for learning Triton