This repository contains scripts to calculate the famous Bjontegaard-Delta metric with different interpolation functions.
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Jul 3, 2024 - Python
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rate-distortion
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Matlab code to compute entropy, conditional entropy, mutual information, channel capacity, and rate distortion.
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Jun 29, 2020 - MATLAB
Reproducible research toolkit for benchmarking AVIF, JPEG XL, WebP, and JPEG on web images with perceptual quality metrics, statistical analysis, visual comparisons, and interactive reports.
python benchmarking web-performance reproducible-research jpeg plotly webp data-analysis matplotlib image-compression image-quality rate-distortion github-actions avif jpeg-xl perceptual-metrics interactive-report
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Aug 3, 2026 - Python
Neural Distributed Compressor Discovers Binning [JSAIT 2024]
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Jun 14, 2024 - Jupyter Notebook
Implementations of different ways to calculate Shannon's rate-distortion trade-off
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May 28, 2020 - Jupyter Notebook
A source-aware rate-distortion index of image and video tokenizers.
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Jul 31, 2026 - JavaScript
Observation Theory — registration-first claim ledger, prediction registry, experiments, and the foundational paper (Book XIV of the Geometric Series).
reproducible-research information-theory preregistration rate-distortion kv-cache observation-theory
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Sep 7, 2026 - HTML
MATLAB image compression: AEV-DLT v3 per-coefficient fair-rate PCRD (CDF 9/7 wavelet) - beats EBCOT Tier-2 baseline on boat & peppers
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Aug 1, 2026 - MATLAB
Compute useful internal structure (C_u) for thermodynamic intelligence. Exact IB-optimal toy + neural network validation.
machine-learning intelligence entropy physics information-theory thermodynamics neural-networks complexity mutual-information non-equilibrium information-bottleneck rate-distortion adaptive-systems semantic-information landauer-principle
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Apr 3, 2026 - Python
Observation Theory — the front door: thesis, method, and the map of the ledgered repositories. The theory has one public name; every claim resolves to a ledger row.
machine-learning compression geometry signal-processing information-theory reproducibility preregistration rate-distortion research-programme observation-theory
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Aug 23, 2026 - Python
Code for signal recovery from quantized sparsified measurements with imperfect side information
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Nov 2, 2017 - MATLAB
Rigorous bounds on the gap between learned neural codec rate and the optimal rate-distortion function R(D).
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Jul 17, 2026 - Python
The following project is an analytical analysis which compares deep learned image compression (CompressAI, Conv2D Autoencoder) against traditional codecs (JPEG, PNG) on CIFAR-10 on the basis of the benchmarks: rate-distortion and latency.
benchmark png tensorflow jpeg autoencoder image-compression cifar-10 rate-distortion pytorch-implementation computer-vision-opencv compressai
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Aug 6, 2026 - Python
Three MQTT data-transmission systems using learned and classical compression — latent-space image codec, Relative Entropy Coding, and REC over a VAE latent — each with sender/receiver apps, full analysis, and documentation.
python mqtt hivemq tkinter autoencoder data-compression image-compression variational-autoencoder rate-distortion relative-entropy-coding
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Jul 24, 2026 - Python
Honest RD evaluation for compression research: gate-checked Bjontegaard (BD-rate) metrics, matched-quality single-point comparison, publication-style RD plots
python compression deep-learning evaluation point-cloud rate-distortion point-cloud-compression bd-rate bjontegaard
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Aug 16, 2026 - Python
Information-theoretic lower bounds for diffusion-based image compression with learned generative priors.
information-theory image-compression lower-bounds machine-learning-theory rate-distortion diffusion-models
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Jul 17, 2026 - Python
A from-scratch deep learning image compression prototype using a convolutional autoencoder, latent quantization, entropy modeling, and Huffman coding.
computer-vision deep-learning pytorch huffman-coding autoencoder image-compression rate-distortion div2k streamlit
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Aug 30, 2026 - Jupyter Notebook
Extends high-rate asymptotic theory of Nonlinear Transform Coding (NTC) to finite-rate regimes with numerically verified bounds.
information-theory machine-learning-theory rate-distortion compression-theory nonlinear-transform-coding finite-rate
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Jul 17, 2026 - Python
Projection as Conditional Expectation and the Capacity Ceiling (Cosmochrony non-injective foundations)
rate-distortion conditional-expectation cosmic-variance non-injective-projection low-multipole-anomaly distinguishable-histories contractive-projection averaging-operator
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Jul 30, 2026 - TeX
PyTorch-based neural video compression prototype built from scratch with motion estimation, residual coding, entropy modeling, and rate-distortion optimization.
machine-learning computer-vision deep-learning pytorch residual-learning motion-estimation video-compression rate-distortion entropy-modeling neural-video-compression
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Sep 4, 2026 - Jupyter Notebook
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