joh4n Goto Github PK
Name: Johan Gudmundsson
Type: User
Company: Desupervised
Name: Johan Gudmundsson
Type: User
Company: Desupervised
fast image augmentation library and easy to use wrapper around other libraries
Differentiable architecture search for convolutional and recurrent networks
Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.
Docker container with a data volume from s3.
This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.
EAST检测器的pytorch版本
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Flexible Bayesian inference using TensorFlow
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
Simple SSH workspace to connect to your running job.
Kernels for Bayesian Optimization in Conditional Parameter Spaces
Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
:exclamation: This is a read-only mirror of the CRAN R package repository. iterLap — Approximate Probability Densities by Iterated Laplace Approximations
R tools for Johan By Johan
personal site
Luke's Auto-Rice Bootstrapping Scripts: Installation Scripts for My Arch Linux Meta-Distribution
Latex Templets
A state-of-the-art semi-supervised method for image recognition
Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)
Simple normalizing flows example using autograd
An extension of Open3D to address 3D Machine Learning tasks
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
A complementary resource that helps python programmers to learn Haskell
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Accurately speed up AutoDock Vina
Reduce - tool for adding and correcting hydrogens in PDB files
Some examples trained on very reduced versions of the MNIST training set
MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice
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.