☆19Nov 21, 2022Updated 3 years ago
Alternatives and similar repositories for relative-entropy-coding
Users that are interested in relative-entropy-coding are comparing it to the libraries listed below
Sorting:
- Autoencoder based image compression: can the learning be quantization independent? https://arxiv.org/abs/1802.09371☆19Dec 13, 2022Updated 3 years ago
- ☆24Mar 1, 2025Updated last year
- Code for Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding☆13Nov 2, 2023Updated 2 years ago
- Compression tools for machine learning researchers☆86May 16, 2023Updated 2 years ago
- ☆11Oct 26, 2022Updated 3 years ago
- Lossy compression; Variable rate compresson; Lossless compression;☆63Oct 28, 2022Updated 3 years ago
- Compression with Flows via Local Bits-Back Coding☆40Nov 21, 2019Updated 6 years ago
- ☆12Dec 16, 2025Updated 2 months ago
- ☆12Oct 20, 2020Updated 5 years ago
- CNN Baseline for Image Compression☆10Nov 11, 2018Updated 7 years ago
- A tensorflow implementation of the Sinkhorn Distance calculation☆27Apr 28, 2019Updated 6 years ago
- Image compression using arithmetic coding algorithm☆16Jul 8, 2023Updated 2 years ago
- Lossless compression using Probabilistic Circuits☆16Mar 10, 2022Updated 3 years ago
- Official code for "Computationally-Efficient Neural Image Compression with Shallow Decoders", ICCV 2023☆35Oct 15, 2024Updated last year
- [ICML'21 Oral] Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding☆14Jun 10, 2021Updated 4 years ago
- ☆17Jun 4, 2021Updated 4 years ago
- ☆17Jun 30, 2020Updated 5 years ago
- Tensorflow 2 implementations of the C-SimCLR and C-BYOL self-supervised visual representation methods from "Compressive Visual Representa…☆37Jan 18, 2022Updated 4 years ago
- ☆35May 11, 2020Updated 5 years ago
- ☆19Jan 9, 2025Updated last year
- Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables☆275Jan 14, 2023Updated 3 years ago
- Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".☆121Aug 19, 2022Updated 3 years ago
- ☆22May 3, 2022Updated 3 years ago
- ☆19Apr 17, 2024Updated last year
- The WaveFunctionCollapse algorithm in Julia.☆22Jan 2, 2019Updated 7 years ago
- Parameter-Space Saliency Maps for Explainability☆23Mar 21, 2023Updated 2 years ago
- Deep Image Compression using Decoder Side Information (ECCV 2020)☆49Mar 24, 2023Updated 2 years ago
- Neural style transfer☆21Jul 29, 2021Updated 4 years ago
- Code for the paper, "First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization"☆27Jul 5, 2022Updated 3 years ago
- Slimmable Compressive Autoencoders for Practical Neural Image Compression☆54Dec 7, 2021Updated 4 years ago
- When Dall E was a baby trained on a bit of data☆27Feb 26, 2021Updated 5 years ago
- How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods☆24Nov 11, 2020Updated 5 years ago
- The code of the Learned Image Compression with Discretized Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules☆24Jul 5, 2024Updated last year
- Data compression in TensorFlow☆910Jan 15, 2026Updated last month
- ☆96May 30, 2022Updated 3 years ago
- Official code for ICML 2020 paper "Variational Bayesian Quantization"☆24Dec 8, 2022Updated 3 years ago
- Repository of the paper "Selective compression learning of latent representations for variable-rate image compression"☆26Sep 22, 2023Updated 2 years ago
- Alphazero on GPU thanks to CUDA.jl☆34Aug 30, 2021Updated 4 years ago
- Context-adaptive neural network based prediction for image compression https://arxiv.org/abs/1807.06244☆23May 31, 2020Updated 5 years ago