Name: Distill
Type: Organization
Bio: Supporting Clarity in Machine Learning
Location: San Francisco, CA
Blog: https://distill.pub
To view the rendered version of the post, visit: https://distill.pub/2020/bayesian-optimization/
Apoorv Agnihotri and Nipun Batra (both IIT Gandhinagar)
Open public/index.html in your browser.
NB - the citations may not appear correctly in the offline render
drafts
This builds the distill drafts website from the individual post repositories. This is public, but probably not interesting. You are likely looking for an example article (https://github.com/distillpub/post--example) or the framework (https://github.com/distillpub/template) instead.
post--activation-atlas
Using feature inversion to visualize millions of activations from an image classification network, we create an explorable activation atlas of features the network has learned which can reveal how the network typically represents some concepts.
post--aia
Using Artificial Intelligence to Augment Human Intelligence
post--attribution-baselines
The repository for the submission "Visualizing the Impact of Feature Attribution Baselines"
post--augmented-rnns
Attention and Augmented Recurrent Neural Networks
post--bayesian-optimization
Exploring Bayesian Optimization
post--building-blocks
The Building Blocks of Interpretability
post--circuits--frequency-edges
High/Low Frequency Detectors for Circuits article
post--circuits-branch-specialization
Circuits: Branch Specialization
post--circuits-curve-circuits
post--circuits-curve-detectors
post--circuits-early-overview
post--circuits-equivariance
post--circuits-overview
post--circuits-visualizing-weights
Visualizing Weights
post--circuits-zoom-in
Zoom In: An Introduction to Circuits
post--communicating-with-interactive-articles
post--ctc
Sequence Modelling with CTC
post--deconv-checkerboard
Deconvolution and Checkerboard Artifacts
post--differentiable-parameterizations
A powerful, under-explored tool for neural network visualizations and art.
post--distill-hiatus
post--editorial-update-2018
Distill Update 2018
post--example
Example Distill article repository—clone, rename, start writing!
post--feature-visualization
Feature Visualization
post--feature-wise-transformations
Feature-Wise Transformations
post--gan-open-problems
Open Questions about Generative Adversarial Networks
post--gnn-intro
post--grand-tour
post--growing-ca
Growing Neural Cellular Automata
post--handwriting
Four Experiments in Handwriting with a Neural Network
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
