Alternatives and similar repositories for chess-research

Users that are interested in chess-research are comparing it to the libraries listed below

• Xmaster6y / lczerolens
  🔬 Interpretability for Leela Chess Zero networks.
  ☆16Updated last week
• HumanCompatibleAI / leela-interp
  Code for "Evidence of Learned Look-Ahead in a Chess-Playing Neural Network"
  ☆25Updated last year
• skfairchild / MathData-Winter22-23
  Mathematical foundations of data analysis, Winter semester 22-23
  ☆13Updated 2 years ago
• redwoodresearch / interp
  Redwood Research's transformer interpretability tools
  ☆14Updated 3 years ago
• edwardjhu / TP4
  Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)
  ☆63Updated 4 years ago
• aw31 / empirical-ntks
  Efficient empirical NTKs in PyTorch
  ☆22Updated 3 years ago
• google-deepmind / neural_networks_chomsky_hierarchy
  Neural Networks and the Chomsky Hierarchy
  ☆211Updated last year
• anthropics / toy-models-of-superposition
  Notebooks accompanying Anthropic's "Toy Models of Superposition" paper
  ☆130Updated 3 years ago
• blei-lab / circuitry
  ☆14Updated last year
• genlm / llamppl
  Probabilistic programming with large language models
  ☆144Updated last week
• april-tools / cirkit
  a python framework to build, learn and reason about probabilistic circuits and tensor networks
  ☆124Updated 3 weeks ago
• google-research / jax-influence
  ☆63Updated 3 years ago
• neelnanda-io / 1L-Sparse-Autoencoder
  ☆132Updated 2 years ago
• aadityasingh / icl-dynamics
  ☆24Updated 7 months ago
• probcomp / LLaMPPL
  A domain-specific probabilistic programming language for modeling and inference with language models
  ☆137Updated 7 months ago
• KindXiaoming / Omnigrok
  Omnigrok: Grokking Beyond Algorithmic Data
  ☆62Updated 2 years ago
• andyljones / boardlaw
  Scaling scaling laws with board games.
  ☆54Updated 2 years ago
• goldblum / free-lunch
  Implementation of experiments from The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning
  ☆17Updated 2 years ago
• pomonam / kronfluence
  Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature
  ☆169Updated 5 months ago
• Sea-Snell / grokking
  unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆79Updated 3 years ago
• TomFrederik / unseal
  Mechanistic Interpretability for Transformer Models
  ☆53Updated 3 years ago
• tommccoy1 / embers-of-autoregression
  ☆29Updated 11 months ago
• KSB21ST / MINI-ARC
  ☆35Updated last year
• samacqua / LARC
  Language-annotated Abstraction and Reasoning Corpus
  ☆97Updated 2 years ago
• rycolab / kl-rb
  This repository contains code for the paper "Better Estimation of the KL Divergence Between Language Models"
  ☆13Updated 5 months ago
• timaeus-research / devinterp
  Tools for studying developmental interpretability in neural networks.
  ☆114Updated 5 months ago
• dtsip / in-context-learning
  ☆241Updated last year
• ApolloResearch / apd
  Attribution-based Parameter Decomposition
  ☆32Updated 5 months ago
• mechanistic-interpretability-grokking / progress-measures-paper
  ☆70Updated 3 years ago
• EdinburghNLP / torch-adaptive-imle
  ☆35Updated 11 months ago