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Name: Agustinus Kristiadi
Type: User
Company: Vector Institute
Bio: Neovim (btw)
Location: Toronto
Name: Agustinus Kristiadi
Type: User
Company: Vector Institute
Bio: Neovim (btw)
Location: Toronto
ASDL: Automatic Second-order Differentiation Library for PyTorch
Source code for Kristiadi and Pranowo, 2017's "Deep Convolutional Level Set Method for Image Segmentation"
Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019).
Reproducing Hu, et. al., ICML 2017's "Toward Controlled Generation of Text"
Comparison between CUDA and CPU for PSO using 3-dimensional Levy function as test case
scipy linear operators for the Hessian, Fisher/GGN, and more in PyTorch
pytorch implementation of fast-neural-style
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Code for "Accelerating Natural Gradient with Higher-Order Invariance"
All the hipster things in Neural Net in a single repo
A launch point for your personal nvim configuration
Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.
Laplace approximated BNN surrogate for BoTorch
Laplace Redux -- Effortless Bayesian Deep Learning
Last-layer Laplace approximation code examples
Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).
MA-INF 4222: NLP Lab (University of Bonn)
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
Extracting medicinal chemistry intuition via preference machine learning
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)
Olympus: a benchmarking framework for noisy optimization and experiment planning
Collection of probabilistic models and inference algorithms
Agustinus' very opiniated publication-ready plotting library
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
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.