This is your work, valued
My research interests focus on machine learning systems, AI safety, and mechanistic understanding of modern foundation models, particularly around hallucination
hallbayes. Python
1.7kntkmirror. Python
347mezzanine. Python
145ITO. Python
65teta. TeX
36factuality-slice. Python
30openbook. TeX
22berry. Python
15medium. Jupyter Notebook
9bayesian-flashcards. A modern, extensible, and research-backed flashcard app designed for optimal learning, focus, and memory—especially for users with ADHD and anyone who wants smarter, science-based study sessions.
6aecf. Code accompanying Adaptive Entropy-Gated Contrastive Fusion: Robust Multimodal Learning under Missing Modalities
5procedural_chlon2026. Supporting experiments
3triton-blackwell. Python
2bgz.
1optimistix. Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
1cvhack. Python
1pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration
1optax. Optax is a gradient processing and optimization library for JAX.
1rfcs. PyTorch RFCs (experimental)
1transformers. 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
1leochlon.github.io. JavaScript
1watermark-edfl-toolkit. Information-theoretic robustness certification toolkit for logits-based text watermarks (SynthID, KGW-family).
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