Alternatives and similar repositories for MCMC-SymReg:

Users that are interested in MCMC-SymReg are comparing it to the libraries listed below

• omron-sinicx / srsd-benchmark
  [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
  ☆32Updated last year
• marcovirgolin / SimpleGP
  Simple Genetic Programming for Symbolic Regression in Python3
  ☆25Updated 3 years ago
• marcovirgolin / GP-GOMEA
  Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
  ☆53Updated last year
• martius-lab / EQL
  Equation Learner, a neural network approach to symbolic regression
  ☆77Updated 5 months ago
• samuelkim314 / DeepSymRegTorch
  PyTorch implementation of the EQL network, a neural network for symbolic regression
  ☆40Updated 3 years ago
• cavalab / feat
  A feature engineering automation tool for learning data representations
  ☆34Updated last week
• Decadz / Genetic-Programming-with-Rademacher-Complexity
  Python code for the GP-RC algorithm presented in "Genetic Programming with Rademacher Complexity for Symbolic Regression" (CEC-2019). Pap…
  ☆15Updated last year
• pySRURGS / pySRURGS
  Symbolic regression by uniform random global search
  ☆13Updated last year
• cavalab / srbench
  A living benchmark framework for symbolic regression
  ☆245Updated 4 months ago
• heal-research / pyoperon
  Python bindings and scikit-learn interface for the Operon library for symbolic regression.
  ☆49Updated last month
• SymposiumOrganization / NeuralSymbolicRegressionThatScales
  Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"
  ☆88Updated 3 years ago
• cfusting / fast-symbolic-regression
  Blazing fast symbolic regresison
  ☆76Updated 5 years ago
• hengzhe-zhang / PS-Tree
  An open source python library for non-linear piecewise symbolic regression based on Genetic Programming
  ☆31Updated 9 months ago
• facebookresearch / recur
  symbolic regression
  ☆39Updated 2 years ago
• facebookresearch / symbolicregression
  SR based on LLMs.
  ☆99Updated 2 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• mojivalipour / symbolicgpt
  Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…
  ☆44Updated 3 years ago
• MilesCranmer / pysr_paper
  A paper describing the implementation of PySR and SymbolicRegression.jl
  ☆54Updated last year
• samuelkim314 / DeepSymReg
  Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
  ☆70Updated last year
• MilesCranmer / sympy2jax
  Turning SymPy expressions into JAX functions
  ☆44Updated 3 years ago
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆49Updated 3 years ago
• deep-symbolic-mathematics / TPSR
  [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
  ☆66Updated 4 months ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆70Updated 4 years ago
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆41Updated 3 years ago
• yucenli / bnn-bo
  Bayesian Neural Network Surrogates for Bayesian Optimization
  ☆48Updated 10 months ago
• twhughes / Symbolic-Regression
  predicting equations from raw data with deep learning
  ☆55Updated 6 years ago
• misokg / NIPS2017
  Multi-Information Source Optimization
  ☆22Updated 5 years ago
• cfusting / fastgp
  Fast Genetic Programming
  ☆11Updated 5 years ago
• QUVA-Lab / COMBO
  ☆50Updated 7 months ago
• tgcsaba / GPSig
  Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
  ☆46Updated last year