Theodore Galanos (TheodoreGalanos)

TheodoreGalanos

Geek Repo

Company:Austrian Institute of Technology

Location:Kuala Lumpur

Home Page:https://www.linkedin.com/in/theodorosgalanos/

Twitter:@TheodoreGalanos

Github PK Tool:Github PK Tool

Theodore Galanos's repositories

DaylightGAN

Real-time daylight prediction using Rhinoceros3D, Grasshopper, Ladybug Tools and pyTorch

Language:PythonStargazers:39Issues:5Issues:0

Layout5

A mixed-initiative, co-creativity layout generation tool for Rhino/GH, done during the AECTech 2020 Hackathon

Language:JavaScriptLicense:MITStargazers:7Issues:3Issues:0

MLDS

Material related to the 'Machine Learned Design Spaces' webinar over at TGIC

Language:Jupyter NotebookStargazers:6Issues:4Issues:0

archElites

A MAP-Elites library for the AEC industry

Language:PythonLicense:MITStargazers:2Issues:3Issues:0

ArchElites_documentation

A MAP-Elites for Generative Architectural Design

Language:HTMLStargazers:1Issues:2Issues:0

architext-ppo

Train Architext models with reinforcement learning.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1Issues:0Issues:0

dalle-mini

DALL·E Mini - Generate images from a text prompt

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1Issues:1Issues:0
Language:Jupyter NotebookLicense:MITStargazers:1Issues:1Issues:0

x-clip

A concise but complete implementation of CLIP with various experimental improvements from recent papers

Language:PythonLicense:MITStargazers:1Issues:0Issues:0

clasp

CLASP - Contrastive Language-Aminoacid Sequence Pretraining

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

DALLE-mtf

Open-AI's DALL-E for large scale training in mesh-tensorflow.

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

DALLE-pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Language:PythonLicense:MITStargazers:0Issues:1Issues:0
Language:PythonStargazers:0Issues:1Issues:0

data-science-learning

Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:1Issues:0

Design-Intelligence

Where Machine Learning meets AEC

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:2Issues:0

ELM

Evolution Through Large Models Implementation

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

generative-models

Collection of generative models, e.g. GAN, VAE in Tensorflow, Keras, and Pytorch.

Language:PythonStargazers:0Issues:2Issues:0

gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

laion-3d

Collect large 3d dataset and build models

Stargazers:0Issues:0Issues:0

mesh-transformer-jax

Model parallel transformers in JAX and Haiku

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

ML

Collecting ideas and building components for ML in AEC

License:MITStargazers:0Issues:1Issues:0

models

Models built with TensorFlow

Language:PythonLicense:Apache-2.0Stargazers:0Issues:2Issues:0

PhD_Thesis

An open-ended approach to generative design

Language:HTMLStargazers:0Issues:2Issues:0

project-menu

See the issue board for the current status of active and prospective projects!

Stargazers:0Issues:1Issues:0

scipy-2016-sklearn

Scikit-learn tutorial at SciPy2016

Language:Jupyter NotebookLicense:CC0-1.0Stargazers:0Issues:2Issues:0

score_sde

Official code for Score-Based Generative Modeling through Stochastic Differential Equations

Language:PythonStargazers:0Issues:1Issues:0

sequence_gan

Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).

Language:PythonStargazers:0Issues:2Issues:0
Language:Jupyter NotebookLicense:MITStargazers:0Issues:1Issues:0

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

vdvae

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

Language:PythonLicense:MITStargazers:0Issues:1Issues:0