Theodore Galanos (TheodoreGalanos)

TheodoreGalanos

Geek Repo

Company:Austrian Institute of Technology

Location:Kuala Lumpur

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

Twitter:@TheodoreGalanos

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Theodore Galanos's repositories

DaylightGAN

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

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MLDS

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

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Layout5

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

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archElites

A MAP-Elites library for the AEC industry

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ArchElites_documentation

A MAP-Elites for Generative Architectural Design

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dalle-mini

DALL·E Mini - Generate images from a text prompt

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x-clip

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

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architext-ppo

Train Architext models with reinforcement learning.

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clasp

CLASP - Contrastive Language-Aminoacid Sequence Pretraining

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DALLE-mtf

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

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DALLE-pytorch

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

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data-science-learning

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

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Design-Intelligence

Where Machine Learning meets AEC

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generative-models

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

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gpt-neox

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

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laion-3d

Collect large 3d dataset and build models

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mesh-transformer-jax

Model parallel transformers in JAX and Haiku

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ML

Collecting ideas and building components for ML in AEC

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models

Models built with TensorFlow

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PhD_Thesis

An open-ended approach to generative design

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project-menu

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

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scipy-2016-sklearn

Scikit-learn tutorial at SciPy2016

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score_sde

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

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sequence_gan

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

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torch-rnn

Efficient, reusable RNNs and LSTMs for torch

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transformers

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

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vdvae

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

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