11 Repositories
Python Ordered-Dithering Libraries
Inferring Lexicographically-Ordered Rewards from Preferences
Inferring Lexicographically-Ordered Rewards from Preferences Code author: Alihan Hüyük ([email protected]) This repository contains the source code nec
A fast ordered NoSQL database.
MerkavaDB Note This is still in active development. Things will change. If you are interested in helping out, or would like to see any particular feat
Stubs with type annotations for ordered-set Python library
ordered-set-stubs - stubs with type annotations for ordered-set Python library Archived - now type annotations are the part of the ordered-set library
A mutable set that remembers the order of its entries. One of Python's missing data types.
An OrderedSet is a mutable data structure that is a hybrid of a list and a set. It remembers the order of its entries, and every entry has an index number that can be looked up.
A mutable set that remembers the order of its entries. One of Python's missing data types.
An OrderedSet is a mutable data structure that is a hybrid of a list and a set. It remembers the order of its entries, and every entry has an index nu
nocasedict - A case-insensitive ordered dictionary for Python
nocasedict - A case-insensitive ordered dictionary for Python Overview Class NocaseDict is a case-insensitive ordered dictionary that preserves the or
Implementation of an ordered dithering algorithm used in computer graphics
Ordered Dithering Project In this project, we use an ordered dithering method to turn an RGB image, first to a gray scale image and then, turn the gra
Spatial color quantization in Rust
rscolorq Rust port of Derrick Coetzee's scolorq, based on the 1998 paper "On spatial quantization of color images" by Jan Puzicha, Markus Held, Jens K
Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"
ON-LSTM This repository contains the code used for word-level language model and unsupervised parsing experiments in Ordered Neurons: Integrating Tree
An implementation of ordered dithering algorithm in python as multimedia course project
One way of minimizing the size of an image is to simply reduce the number of bits you use to represent each pixel.
Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"
Anytime Autoregressive Model Anytime Sampling for Autoregressive Models via Ordered Autoencoding , ICLR 21 Yilun Xu, Yang Song, Sahaj Gara, Linyuan Go