Alternatives and similar repositories for cross-entropy-for-combinatorics

Users that are interested in cross-entropy-for-combinatorics are comparing it to the libraries listed below

• zawagner22 / cross-entropy-for-combinatorics
  Code accompanying the manuscript "Constructions in combinatorics via neural networks and LP solvers".
  ☆56Updated 3 years ago
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆59Updated last year
• konstantinosKokos / ape
  🧮 Algebraic Positional Encodings.
  ☆16Updated 7 months ago
• Silent-Zebra / twisted-smc-lm
  ☆30Updated 4 months ago
• aks2203 / easy-to-hard
  Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"
  ☆59Updated 3 years ago
• probcomp / LLaMPPL
  A domain-specific probabilistic programming language for modeling and inference with language models
  ☆132Updated 3 months ago
• google-research / discs
  DISCS: The code base for the Benchmark for Discrete Sampling
  ☆59Updated 11 months ago
• edwardjhu / TP4
  Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)
  ☆62Updated 4 years ago
• uzulim / hades
  Fast singularity detection with kernel
  ☆36Updated last year
• harmonic-ai / datasets
  Harmonic Datasets
  ☆45Updated last year
• lio-wong / dreamcoder
  ☆68Updated 3 years ago
• aks2203 / deep-thinking
  A centralized place for deep thinking code and experiments
  ☆85Updated 2 years ago
• Ping-C / optimizer
  This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…
  ☆37Updated 2 years ago
• google-research / crossbeam
  ☆43Updated 2 years ago
• Sea-Snell / grokking
  unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆78Updated 3 years ago
• EdinburghNLP / torch-adaptive-imle
  ☆35Updated 8 months ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• wattenberg / superposition
  Code associated to papers on superposition (in ML interpretability)
  ☆29Updated 2 years ago
• pilancilab / scnn
  Scalable Convex Neural Networks
  ☆24Updated 3 months ago
• gpoesia / peano
  An environment for learning formal mathematical reasoning from scratch
  ☆72Updated 11 months ago
• kitft / funsearch
  Genetic programming using LLMs
  ☆40Updated 5 months ago
• samacqua / LARC
  Language-annotated Abstraction and Reasoning Corpus
  ☆90Updated 2 years ago
• cmu-l3 / ntptutorial-II
  Neural theorem proving tutorial, version II
  ☆38Updated last year
• vvvm23 / mezo-jax
  JAX implementation of "Fine-Tuning Language Models with Just Forward Passes"
  ☆19Updated 2 years ago
• google-deepmind / neural_networks_solomonoff_induction
  Learning Universal Predictors
  ☆78Updated last year
• KindXiaoming / Omnigrok
  Omnigrok: Grokking Beyond Algorithmic Data
  ☆61Updated 2 years ago
• glassroom / heinsen_sequence
  Code implementing "Efficient Parallelization of a Ubiquitious Sequential Computation" (Heinsen, 2023)
  ☆94Updated 8 months ago
• RobinKa / jaxga
  Geometric Algebra package for JAX
  ☆50Updated 3 years ago
• cmu-l3 / llmlean
  LLMs + Lean, on your laptop or in the cloud
  ☆175Updated 3 weeks ago
• nicholaslourie / opda
  Design and analyze optimal deep learning models.
  ☆23Updated last week