ShuhuaGao / geppyLinks
A framework for gene expression programming (an evolutionary algorithm) in Python
☆218Updated 7 months ago
Alternatives and similar repositories for geppy
Users that are interested in geppy are comparing it to the libraries listed below
Sorting:
- An open source python library for automated feature engineering based on Genetic Programming☆153Updated this week
- A vectorized approach to Genetic Programming☆45Updated 5 months ago
- An open source python library for non-linear piecewise symbolic regression based on Genetic Programming☆36Updated last year
- A baseline implementation of genetic programming (using trees to encode programs) with some examples of usage.☆34Updated last month
- Bayesian Optimization algorithms with various recent improvements☆102Updated 2 years ago
- Simple Genetic Programming for Symbolic Regression in Python3☆27Updated 3 years ago
- Multi-objective Genetic Programming by NSGA-II in Python☆33Updated 4 years ago
- A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.☆164Updated 3 years ago
- Python3 project applying Gaussian process regression for forecasting stock trends☆156Updated 7 years ago
- Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP☆57Updated last month
- A collection of tutorials for the MOSEK package☆122Updated this week
- Python + Numpy implementation of the Gene Expression Programming Evolutionary Algorithm☆10Updated 8 years ago
- This code illustrates the use of genetic programming to evolve financial trading strategies for a single equity stock. Individuals (strat…☆25Updated 6 years ago
- A living benchmark framework for symbolic regression☆275Updated last week
- Deep Learning methods to solve path-dependent PDEs / to price path-dependent derivatives like exotic options☆36Updated 3 years ago
- A Tutorial for DEAP☆41Updated 7 months ago
- Calculate predictive causality between time series using information-theoretic techniques☆104Updated 4 years ago
- A feature engineering automation tool for learning data representations☆36Updated 7 months ago
- Ray based map function for Deap with examples. Automatically batches iterator to multiple workers for many processors or clusters.☆16Updated 5 years ago
- Bayesian neural network with Parallel Tempering MCMC for Stock Market Prediction☆41Updated 4 years ago
- Python package for canonical vine copula trees with mixed continuous and discrete marginals☆48Updated last year
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆77Updated 2 years ago
- Genetic Algorithm Package for Python☆265Updated 4 years ago
- Python for Random Matrix Theory: cleaning schemes for noisy correlation matrices.☆75Updated 7 years ago
- A deep learning framework for symbolic optimization.☆685Updated 9 months ago
- Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation☆36Updated 6 years ago
- Materials related to the Medium article "Predicting Stock Prices with Echo State Networks".☆51Updated 5 years ago
- Tiny Genetic Programming in Python.☆105Updated 2 years ago
- A curated list of resources for genetic programming.☆61Updated 10 months ago
- a python 3 library based on deap providing abstraction layers for symbolic regression problems.☆94Updated 4 years ago