joh4n Goto Github PK

albumentations

fast image augmentation library and easy to use wrapper around other libraries

darts

Differentiable architecture search for convolutional and recurrent networks

differentiable-plasticity

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

docker-s3-volume

Docker container with a data volume from s3.

east

This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.

east.pytorch

EAST检测器的pytorch版本

edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

elbow

Flexible Bayesian inference using TensorFlow

enas-cnn

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

gradient-ssh-test

Simple SSH workspace to connect to your running job.

hierarchical-kernels

Kernels for Bayesian Optimization in Conditional Parameter Spaces

iaf

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

iterlap

:exclamation: This is a read-only mirror of the CRAN R package repository. iterLap — Approximate Probability Densities by Iterated Laplace Approximations

jgtools

R tools for Johan By Johan

joh4n.github.io

personal site

larbs

Luke's Auto-Rice Bootstrapping Scripts: Installation Scripts for My Arch Linux Meta-Distribution

latextemplets

Latex Templets

mean-teacher

A state-of-the-art semi-supervised method for image recognition

natural-posterior-network

Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)

normflows

Simple normalizing flows example using autograd

open3d-ml

An extension of Open3D to address 3D Machine Learning tasks

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

py2hs

A complementary resource that helps python programmers to learn Haskell

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

qvina

Accurately speed up AutoDock Vina

reduce

Reduce - tool for adding and correcting hydrogens in PDB files

rmnist

Some examples trained on very reduced versions of the MNIST training set

sampyl

MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice

sgld_online_approximation