marcovirgolin / geneproLinks
A baseline implementation of genetic programming (using trees to encode programs) with some examples of usage.
☆35Updated 2 months ago
Alternatives and similar repositories for genepro
Users that are interested in genepro are comparing it to the libraries listed below
Sorting:
- A vectorized approach to Genetic Programming☆45Updated 6 months ago
- An open source python library for non-linear piecewise symbolic regression based on Genetic Programming☆36Updated last year
- A framework for gene expression programming (an evolutionary algorithm) in Python☆219Updated 8 months ago
- Meta-learning approach for human-interpretable formulas generation☆10Updated 5 years ago
- Simple Genetic Programming for Symbolic Regression in Python3☆27Updated 3 years ago
- Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP☆58Updated last month
- Extremly fast c++/python symbolic regression library based on parallel local search.☆18Updated 2 months ago
- An open source python library for automated feature engineering based on Genetic Programming☆156Updated this week
- Python bindings and scikit-learn interface for the Operon library for symbolic regression.☆58Updated this week
- A feature engineering automation tool for learning data representations☆36Updated 8 months ago
- Democratizing Index Tracking for Small Investors in Europe: A Meta-Learning Method for Sparse Portfolio Optimization☆83Updated 2 years ago
- JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading☆35Updated 2 years ago
- Some implementations from the paper robust risk aware reinforcement learning☆36Updated 3 years ago
- Python modules and jupyter notebook examples for the paper Arbitrage-free Neural-SDE Market Models.☆54Updated 2 years ago
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆78Updated last year
- Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…☆53Updated 4 years ago
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆37Updated last year
- Multi-objective Genetic Programming by NSGA-II in Python☆34Updated 4 years ago
- Elo ratings for global black box derivative-free optimizers☆143Updated 9 months ago
- Symbolic Regression from Scratch with Python☆11Updated 2 years ago
- Bayesian Optimization of Risk Measures☆21Updated last year
- This code illustrates the use of genetic programming to evolve financial trading strategies for a single equity stock. Individuals (strat…☆25Updated 6 years ago
- ☆20Updated 2 years ago
- DATA-AIDED PAIRS TRADING VIA LEARNED KALMAN WITH BOLLINGER BANDS☆35Updated 3 years ago
- Random Matrix Theory library - RMT analysis and simulation in Python☆51Updated last month
- Automatic optimal sequential investment decisions. Forecasts made using advanced stochastic processes with Monte Carlo simulation. Depend…☆22Updated last year
- SR based on LLMs.☆119Updated 3 years ago
- ☆18Updated 2 years ago
- A Python library for the fast symbolic approximation of time series☆49Updated last month
- JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading☆128Updated 2 weeks ago