-
Universität Leipzig
- Leipzig, Germany
- https://orcid.org/0000-0002-1634-5068
- @christopher
- in/christopherakiki
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A strong chess engine which uses a neural network to evaluate positions
TabFM (Tabular Foundation Model) is a pretrained tabular foundation model developed by Google Research for tabular data regression and classification.
Things you can do with the token embeddings of an LLM
CVChess is a state of the art deep learning framework with end to end chess state recognition from board state to FEN generation.
TinyStories-260K running locally on a stock Game Boy Color.
OCN — Open Chess Naming. Hierarchical names for chess openings, designed as a human-friendly companion to ECO.
A unified, torch-native training framework for MTP and block-parallel speculative decoding.
A massively parallel, high-level programming language
Efficient Triton Kernels for LLM Training
Visa Vulnerability Agentic Harness
GlobalBuildingAtlas: an open global and complete dataset of building polygons, heights and LoD1 3D models
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
A massively multilingual corpus and pretrained model for IGT
A real-time, first-person raycaster demonstration for the SNK Neo Geo AES, written in C.
Browser-only chess practice app — Stockfish WASM, graded insights, spaced-repetition puzzles, bots, game review
A training implementation for Maia3 models
javascript multiplayer toolkit for building real-time games and applications
Automatic inference for composable models of heterogeneous data
DiRe accelerated by PyTorch, PyKeOps and cuVS
DiRe-RAPIDS + EVoC integration (Igor Rivin): GPU Phase-2 hybrid clustering, intrinsic dimension from the kNN graph, out-of-sample predict