theodoregalanos Goto Github PK
Name: Theodore Galanos
Type: User
Company: Austrian Institute of Technology
Twitter: TheodoreGalanos
Location: Kuala Lumpur
Name: Theodore Galanos
Type: User
Company: Austrian Institute of Technology
Twitter: TheodoreGalanos
Location: Kuala Lumpur
A MAP-Elites library for the AEC industry
A MAP-Elites for Generative Architectural Design
Train Architext models with reinforcement learning.
A plugin to connect Grasshopper3D to OpenFoam for CFD simulation
CLASP - Contrastive Language-Aminoacid Sequence Pretraining
Code for a convolutional autoencoder written on python, theano, lasagne, nolearn
DALL·E Mini - Generate images from a text prompt
Open-AI's DALL-E for large scale training in mesh-tensorflow.
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.
Real-time daylight prediction using Rhinoceros3D, Grasshopper, Ladybug Tools and pyTorch
Deep Convolutional Generative Adversarial Networks
Where Machine Learning meets AEC
Evolution Through Large Models Implementation
Collection of generative models, e.g. GAN, VAE in Tensorflow, Keras, and Pytorch.
An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
Collect large 3d dataset and build models
A mixed-initiative, co-creativity layout generation tool for Rhino/GH, done during the AECTech 2020 Hackathon
Yeah okay I switched to tensorflow this time
Model parallel transformers in JAX and Haiku
Collecting ideas and building components for ML in AEC
Material related to the 'Machine Learned Design Spaces' webinar over at TGIC
Models built with TensorFlow
An open-ended approach to generative design
See the issue board for the current status of active and prospective projects!
Scikit-learn tutorial at SciPy2016
Official code for Score-Based Generative Modeling through Stochastic Differential Equations
Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.