daxiongshu / rapids-ai-BBO-2nd-place-solutionLinks
☆71Updated 5 years ago
Alternatives and similar repositories for rapids-ai-BBO-2nd-place-solution
Users that are interested in rapids-ai-BBO-2nd-place-solution are comparing it to the libraries listed below
Sorting:
- Starter kit for the black box optimization challenge at Neurips 2020☆115Updated 5 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 5 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆82Updated 4 years ago
- ⏸ Parallelized hyper-param optimization with validation set, not crossval☆91Updated 3 years ago
- A few baselines with a standard tabular model☆38Updated 5 years ago
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆157Updated 4 years ago
- NeuralPy: A Keras like deep learning library works on top of PyTorch☆79Updated last year
- ☆26Updated 6 years ago
- Improved TabNet for TensorFlow☆53Updated 3 years ago
- Experiments logging & visualization☆50Updated 4 years ago
- Python implementation of GLN in different frameworks☆97Updated 5 years ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆78Updated 4 years ago
- ☆79Updated 5 years ago
- Better, faster hyper-parameter optimization☆113Updated last year
- A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.☆67Updated 6 years ago
- A scikit-learn compatible implementation of hyperband☆77Updated 6 years ago
- ☆69Updated 5 years ago
- A simple, extensible library for developing AutoML systems☆175Updated 2 years ago
- collecting related resources of automated machine learning here☆54Updated 3 years ago
- This is the demo code associated with the paper: W. Gong , S. Tschiatschek, S. Nowozin, R.E. Turner, J.M. Hernández-Lobato, C.Zhang Icebr…☆44Updated 6 years ago
- Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"☆62Updated 2 years ago
- Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers☆169Updated 3 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆68Updated last year
- Simple stochastic weight averaging callback for Keras☆63Updated 4 years ago
- Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.☆61Updated 4 years ago
- A toolset for black-box hyperparameter optimisation.☆136Updated 5 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆176Updated 3 years ago
- Distributed Bayesian Optimization☆23Updated 5 years ago
- An automatic ML model optimization tool.☆199Updated 2 years ago
- High level utility functions for using Rapids on Kaggle Competitions☆28Updated 5 years ago