Hvass-Labs / MetaOpsLinks
Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)
☆55Updated 6 years ago
Alternatives and similar repositories for MetaOps
Users that are interested in MetaOps are comparing it to the libraries listed below
Sorting:
- Heuristic Optimization for Python☆73Updated 5 years ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆78Updated 3 years ago
- A collection of black-box optimizers with a focus on evolutionary algorithms☆28Updated 5 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆84Updated 3 years ago
- Transfer learning for flight-delay prediction via variational autoencoders in Keras☆34Updated 8 years ago
- Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.☆13Updated 3 years ago
- Automatic feature engineering using Generative Adversarial Networks using TensorFlow.☆51Updated 2 years ago
- Probabilistic Multivariate Time Series Forecast using Deep Learning☆96Updated 6 years ago
- LSTM for time series forecasting☆28Updated 7 years ago
- Hyperparameter tuning for machine learning models using a distributed genetic algorithm☆89Updated 11 months ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 5 years ago
- Parameter Importance Analysis Tool☆77Updated 4 years ago
- Deep learning for time-series data☆49Updated 2 years ago
- A simple implementation of the WaveNet model for time series forecasting☆26Updated 7 years ago
- ☆45Updated 4 years ago
- Deep Learning for High-Dimensional Time Series☆22Updated 5 years ago
- Evolving deep neural network agents using Genetic Algorithms☆68Updated 6 years ago
- GAN in Tensorflow to be run via Linux command line☆22Updated 7 years ago
- Feature selection for maximizing expected cumulative reward☆30Updated 7 years ago
- Bayesian calibration using Tensorflow Probability☆35Updated 6 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆115Updated 8 years ago
- Predict taxi trip duration based on historical trips using automated feature engineering☆62Updated 5 years ago
- ☆42Updated 7 years ago
- Tensorflow implementation of deep quantile regression☆76Updated 2 years ago
- Fuzzy machine learning algorithms implementing the scikit-learn interface.☆75Updated last year
- Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)☆70Updated 2 years ago
- Bayesian Inference and parameter estimation in quant finance.☆42Updated 6 years ago
- Mastering PyTorch for Deep Learning, Published by Packt☆15Updated 4 years ago
- Auxiliary variable Markov chain Monte Carlo methods☆10Updated 7 years ago
- collecting related resources of automated machine learning here☆55Updated 3 years ago