Hvass-Labs / swarmops
Heuristic Optimization for Python
☆72Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for swarmops
- Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)☆55Updated 6 years ago
- a feature engineering wrapper for sklearn☆51Updated 4 years ago
- Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.☆13Updated 2 years ago
- ☆13Updated 8 years ago
- Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration☆79Updated 7 years ago
- Automatic feature engineering using Generative Adversarial Networks using TensorFlow.☆51Updated last year
- Stock Market Prediction Using Neural Network Models (Backpropagation, RNN, RBF) Keras with Tensorflow backend☆48Updated 6 years ago
- A consolidated package of small extensions to scikit-learn☆24Updated last year
- Classifying time series using feature extraction☆86Updated 6 years ago
- A simple implementation of the WaveNet model for time series forecasting☆26Updated 6 years ago
- ☆18Updated 5 years ago
- UNIVR PDE course project and just for fun☆115Updated 7 years ago
- A collection of black-box optimizers with a focus on evolutionary algorithms☆26Updated 4 years ago
- A python metaheuristic optimization library. Currently supports Genetic Algorithms, Gravitational Search, Cross Entropy, and PBIL.☆39Updated 3 years ago
- Fuzzy machine learning algorithms implementing the scikit-learn interface.☆74Updated 4 months ago
- ☆45Updated 4 years ago
- ☆69Updated 4 years ago
- Bayesian Inference and parameter estimation in quant finance.☆43Updated 5 years ago
- Random Forest model using Hellinger Distance as split criterion☆33Updated last year
- Implementation of Genetic Algorithm for feature selection of neural networks proposed by Genetic algorithm-based heuristic for feature se…☆25Updated 6 years ago
- Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.☆92Updated 3 years ago
- Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.☆72Updated last year
- Automated machine learning (AutoML) with grammar-based genetic programming☆52Updated 5 months ago
- Code examples for pyFTS☆46Updated 5 years ago
- Hyperparameter optimization for neural networks☆47Updated 11 years ago
- Fuzzy Q learning in Tensorflow , Training an ANFIS.☆25Updated 6 years ago
- Introduction to machine learning and data mining How can a machine learn from experience, to become better at a given task? How can we a…☆41Updated 9 years ago
- Fast Function Extraction☆80Updated last month
- A Keras-based library for analysis of time series data using deep learning algorithms.☆118Updated 6 years ago