Alternatives and similar repositories for AI-Descartes

Users that are interested in AI-Descartes are comparing it to the libraries listed below

• MilesCranmer / pysr_paper
  A paper describing the implementation of PySR and SymbolicRegression.jl
  ☆58Updated last year
• IBM / AI-Hilbert
  AI Hilbert is an algebraic geometric based discovery system (based on Putinar's Positivstellensatz), that enables the discovery of fundam…
  ☆34Updated last year
• deep-symbolic-mathematics / TPSR
  [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
  ☆75Updated 9 months ago
• LironSimon / SciMED
  A computational framework for finding symbolic expressions from physical datasets.
  ☆61Updated 2 years ago
• artificial-scientist-lab / Impact4Cast
  Forecasting high-impact research topics via machine learning on evolving knowledge graphs
  ☆39Updated 4 months ago
• stfc-sciml / sciml-bench
  SciML Benchmarking Suite for AI for Science
  ☆42Updated last year
• IBM / simulai
  A toolkit with data-driven pipelines for physics-informed machine learning.
  ☆190Updated 3 months ago
• ur-whitelab / BO-ICL
  BayesOpt + LIFT
  ☆72Updated 3 months ago
• pyt-team / TopoEmbedX
  Representation Learning on Topological Domains
  ☆85Updated last week
• KindXiaoming / BIMT
  Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.
  ☆172Updated 2 years ago
• facebookresearch / SSLForPDEs
  Code for Lie Symmetries SSL paper
  ☆23Updated last year
• pauljblazek / deepdistilling
  Mechanistically interpretable neurosymbolic AI (Nature Comput Sci 2024): losslessly compressing NNs to computer code and discovering new …
  ☆92Updated last year
• google-deepmind / flows_for_atomic_solids
  ☆52Updated 2 years ago
• artificial-scientist-lab / GWDetectorZoo
  AI-driven discovery of new Gravitational Wave Detectors
  ☆25Updated last year
• MilesCranmer / pysr_scaling_laws
  You should use PySR to find scaling laws. Here's an example.
  ☆33Updated last year
• artificial-scientist-lab / FutureOfAIviaAI
  Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network
  ☆79Updated last year
• mojivalipour / symbolicgpt
  Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…
  ☆52Updated 3 years ago
• lamm-mit / MeLM
  ☆68Updated last year
• deep-symbolic-mathematics / Multimodal-Math-Pretraining
  [ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-t…
  ☆57Updated 10 months ago
• bhaskatripathi / HypothesisHub
  An AI Tool for Automated Research Question and Hypothesis Generation from a given Scientific Literature
  ☆35Updated 2 years ago
• deep-symbolic-mathematics / LLM-SR
  [ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Lan…
  ☆165Updated 3 weeks ago
• google-research / gpax
  ☆30Updated 11 months ago
• cavalab / srbench
  A living benchmark framework for symbolic regression
  ☆269Updated 3 weeks ago
• PolymathicAI / multiple_physics_pretraining
  Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
  ☆172Updated 8 months ago
• ziatdinovmax / NeuroBayes
  Fully and Partially Bayesian Neural Nets
  ☆75Updated 4 months ago
• mcbal / spin-model-transformers
  Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX
  ☆41Updated last year
• ramanathanlab / SciFM24-Tutorial
  Tutorial notebooks for SciFM24
  ☆11Updated last year
• tailintalent / AI_physicist
  AI Physicist, a paradigm with algorithms for learning theories from data, by Wu and Tegmark (2019)
  ☆34Updated 4 years ago
• samuelkim314 / DeepSymRegTorch
  PyTorch implementation of the EQL network, a neural network for symbolic regression
  ☆41Updated 4 years ago
• scifm / summer-school-2024
  ☆37Updated last year