Code examples and benchmarks from the paper "Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective"

Last update: Nov 02, 2022

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Deep Learning understanding-ans

Overview

Code For the Paper "Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective"

Author: Robert Bamler
Date: 22 December 2021

This repository contains:

Code examples from the paper (see notebook code-examples.ipynb).
The code used for the empirical evaluation in Section 5.2 of the paper (see subdirectory benchmarks).

Owner

Long-term projects by the group of Prof. Bamler at University of Tuebingen, Germany.

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Code examples and benchmarks from the paper "Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective"

Related tags

Overview

Code For the Paper "Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective"

Owner

The end-to-end platform for building voice products at scale

Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems

Process JSON files for neural recording sessions using Medtronic's BrainSense Percept PC neurostimulator

fastgradio is a python library to quickly build and share gradio interfaces of your trained fastai models.

DumpSMBShare - A script to dump files and folders remotely from a Windows SMB share

Supervised domain-agnostic prediction framework for probabilistic modelling

Official project repository for 'Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination'

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PyTorch implementation of Lip to Speech Synthesis with Visual Context Attentional GAN (NeurIPS2021)

VideoGPT: Video Generation using VQ-VAE and Transformers

Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

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