Neural Programmer-Interpreter Implementation (Reed, de Freitas: https://arxiv.org/abs/1511.06279), in Tensorflow
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Nov 17, 2018 - Python
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hidden-states
Here are 11 public repositories matching this topic...
A Word Level Transformer layer based on PyTorch and 🤗 Transformers.
python nlp natural-language-processing deep-learning tokenizer transformers pytorch embeddings transformer preprocess pretrained-models sentences language-model bert hidden-states allennlp huggingface huggingface-transformers transformer-embedder transformers-embedder
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Jan 31, 2024 - Python
IJRR 2026 | Situationally-Aware Dynamics Learning | Online and Unsupervised Latent Factor Representation Learning for Robot Dynamics Learning.
reinforcement-learning representation-learning unsupervised-learning online-learning hidden-states model-based-reinforcement-learning latent-factor-model
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Apr 2, 2026 - Python
Visual analytics approach presented in the paper "Visual Analytics Tool for the Interpretation of Hidden States in Recurrent Neural Networks" (VCIBA, 2021).
visualization machine-learning natural-language-processing recurrent-neural-networks classification visual-analytics hidden-states interpretability long-short--term-memory nonlinear-projection
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Sep 10, 2021 - JavaScript
R package for Statistical Modeling of Animal Movements
hidden-markov-model animal-movement measurement-error hidden-states brownian-motion telegraph-process
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Mar 7, 2026 - C++
This repository contains NLP Transfer learning projects with deployment and integration with UI.
nlp pytorch gpt bert pos-tagging hidden-states speech-tagging langauge-classification gpt-2 gpt2 bert-models gpt2lmheadmodel
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Jan 13, 2023 - Python
Designing and training probabilistic graphical models (MATLAB).
hmm graphs graphical-models factor-graphs probabilistic-graphical-models hidden-markov-models hidden-states
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Mar 30, 2021 - MATLAB
Topology and geometry of Transformer hidden states via persistent homology. The manifold is a 1D arc (PC1=norm, r=0.999), not a torus or sphere. PC2=position, PC3=surprisal+POS. Validated up to 40B.
reproducible-research pytorch open-science transformer pca persistent-homology hidden-states probing betti-numbers layernorm mechanistic-interpretability manifold-topology
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Apr 15, 2026 - Python
Investigating Layer-Specific Performance in Speaker Recognition with XLS-R Architecture
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Apr 29, 2024 - Jupyter Notebook
Geometric phase structure in Transformer hidden states. LayerNorm placement predicts manifold geometry — 6x difference in PCA concentration. 9 models, 13 experiments.
reproducible-research transformers pytorch open-science pca hidden-states ai-research layernorm mechanistic-interpretability manifold-geometry phase-extraction
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Mar 30, 2026 - Python
Measurement-first audit repo for hidden-state verifiers in structured reasoning: outcome readout vs process verification via counterfactual local validity.
auditing evaluation pytorch reasoning hidden-states interpretability probing mechanistic-interpretability structured-reasoning process-verification
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Apr 18, 2026 - Python
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