-
Universität Leipzig
- Leipzig, Germany
- https://orcid.org/0000-0002-1634-5068
- @christopher
- in/christopherakiki
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A repository of pretty cool datasets that I collected for network science and machine learning research.
Tokenization and analysis pipeline for full-text search
Lore is a next-generation, open source version control system
Repo accompanying our paper "Do Llamas Work in English? On the Latent Language of Multilingual Transformers".
📰 Computing the information content of trained neural networks
A data set based on all arXiv publications, pre-processed for NLP, including structured full-text and citation network
Code for the analysis underlying the article "How localized are computational templates? A machine learning approach""
Enhancing Chess Reinforcement Learning with Graph Representation
Python package providing an Inverted Index implementation using dictionaries
open source interpretability platform 🧠
Quickly and accurately render even the largest data.
Interactive visualizations of the geometric intuition behind diffusion models.
An engine for displaying slips, the next-gen version of slides
Fast and memory-efficient classical machine learning operators
Chess-World-Model: a 10M-game benchmark for exact state tracking from chess move sequences.
A Cheater Detection System for Online Chess
High-performance GPU kernels for Ads and Recsys model training, independently implemented and optimized for real-world workloads and model-specific input characteristics.
Maia-3 is the most accurate and efficient human chess move prediction engine.
Generalization or Memorization? Brittleness Testing for Chess-Trained Language Models