georgosgeorgos
Science is built up with data, as a house is with stones. But a collection of data is no more a science than a heap of stones is a house. (J.H. Poincaré)
DTU Compute
Pinned Repositories
02456-deep-learning-with-PyTorch
Exercises and supplementary material for the deep learning course 02456 using PyTorch.
data-mining
Some Data Mining topics
DLRC_2018
Statistical Models for Robotic Perception
dlss_tsinghua
Deep Learning Summer School
few-shot-diffusion-models
Few-Shot Diffusion Models
graph-signal-reconstruction
Signal recovery and sampling over graphs
hierarchical-few-shot-generative-models
Code for "SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation" @ ICML 2022
trajectory-alignment-diffusion
Code for "Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation" @ NeurIPS 2023
gt4sd-core
GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.
multitask_text_and_chemistry_t5
Code for "Unifying Molecular and Textual Representations via Multi-task Language Modelling" @ ICML 2023
georgosgeorgos's Repositories
georgosgeorgos/few-shot-diffusion-models
Few-Shot Diffusion Models
georgosgeorgos/hierarchical-few-shot-generative-models
Code for "SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation" @ ICML 2022
georgosgeorgos/graph-signal-reconstruction
Signal recovery and sampling over graphs
georgosgeorgos/data-mining
Some Data Mining topics
georgosgeorgos/dlss_tsinghua
Deep Learning Summer School
georgosgeorgos/DLRC_2018
Statistical Models for Robotic Perception
georgosgeorgos/trajectory-alignment-diffusion
Code for "Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation" @ NeurIPS 2023
georgosgeorgos/AI-ML
Some Artificial Intelligence & Machine Learning algorithms
georgosgeorgos/ComputationalStatisticsBT
Computational Statistics with R
georgosgeorgos/WhatDoYouRecommend
recommendation systems for books
georgosgeorgos/AI
Some classical Artificial Intelligence algorithms
georgosgeorgos/BioInformatics
BioInformatics with Python
georgosgeorgos/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
georgosgeorgos/autoregressive-energy-machines
Autoregressive Energy Machines
georgosgeorgos/crypto-grapho
georgosgeorgos/georgosgeorgos.github.io
georgos blog
georgosgeorgos/gt4sd-core
GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.
georgosgeorgos/inverted_recipes
build a search engine
georgosgeorgos/karpathy.github.io
my blog
georgosgeorgos/ML_applications
applications
georgosgeorgos/modulus
A PyTorch based deep-learning toolkit for developing DL models for physical systems
georgosgeorgos/notes
Course notes
georgosgeorgos/paccmann_chemistry
Generative models of chemical data for PaccMann^RL
georgosgeorgos/PlaNet-1
Deep Planning Network: Control from pixels by latent planning with learned dynamics
georgosgeorgos/Recommendations_for_Engineers
All of my recommendations for aspiring engineers in a single place, coming from various areas of interest.
georgosgeorgos/research_2020
Resources
georgosgeorgos/rfs
georgosgeorgos/RL
Some classical Reinforcement Learning algorithms
georgosgeorgos/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
georgosgeorgos/webCrawler
Weighted exploration