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This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Pytorch implementation of β-VAE
code for paper: Peter J Bentley, Soo Ling Lim, Adam Gaier and Linh Tran. 2022. COIL: Constrained Optimization in Workshop on Learned Latent Space: Learning Representations for Valid Solutions. In Genetic and Evolutionary Computation Conference Companion (GECCO ’22 Companion). ACM, Boston, USA
Sample code for Constrained Graph Variational Autoencoders
Explore our CVAETF-based molecular design method, trained on 1.58M MOSES molecules. Tailored for property and structural constraints, it incorporates logP, tPSA, QED, and Murcko scaffold considerations using RDKit. Welcome to precise, data-driven molecular design.
Learning a Latent Search Space for Routing Problems using Variational Autoencoders
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
Dataset to assess the disentanglement properties of unsupervised learning methods
This is an interview assessment.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Official Open Source code for "Masked Autoencoders As Spatiotemporal Learners"
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Taught by Arif Ghafoor
Taught by Avinash Kak
PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
Vector Quantized VAEs - PyTorch Implementation
防走丢
High-Resolution Image Synthesis with Latent Diffusion Models
High-fidelity performance metrics for generative models in PyTorch
Transformer: PyTorch Implementation of "Attention Is All You Need"
Official repository for the paper "Improving black-box optimization in VAE latent space using decoder uncertainty" (Pascal Notin, José Miguel Hernández-Lobato, Yarin Gal)
This respository is the experimental code of the UT module.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Official implementation of VQ-Diffusion
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
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.