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liamchalcroft / medtokenizers

Tokenizers for 2D and 3D medical images: VQ, LFQ, FSQ, Residual FSQ, VAE, and AE quantizers behind one backbone.

machine-learning deep-learning pytorch medical-imaging autoencoder image-compression representation-learning tokenization vector-quantization vqvae medmnist discrete-representations finite-scalar-quantization lookup-free-quantization

Updated Aug 7, 2026
Python

bhigy / discrete-repr

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Accompanying code for the paper "Discrete representations in neural models of spoken language" (https://aclanthology.org/2021.blackboxnlp-1.11)

deep-learning pytorch unsupervised-learning speech-processing interpretability discrete-representations

Updated Feb 17, 2022
Python

arturoornelasb / reptimeline

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Track how discrete representations evolve during neural network training — lifecycle events, phase transitions, ontology discovery, and causal verification

python machine-learning pytorch neural-networks representation-learning causal-inference sparse-autoencoders interpretability fsq vq-vae training-dynamics phase-transitions discrete-representations mechanistic-interpretability lifecycle-tracking

Updated Jul 21, 2026
Python

Coriappropriative733 / medtokenizers

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Compress 2D/3D medical images into latents or discrete tokens with interchangeable quantizers (VQ, LFQ, FSQ, VAE, AE) for flexible generative modeling.

machine-learning deep-learning pytorch medical-imaging autoencoder image-compression representation-learning tokenization vector-quantization vqvae medmnist discrete-representations finite-scalar-quantization lookup-free-quantization

Updated Sep 1, 2026
Python

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discrete-representations

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liamchalcroft / medtokenizers

bhigy / discrete-repr

arturoornelasb / reptimeline

Coriappropriative733 / medtokenizers

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