rdturnermtl / bbo_challenge_starter_kitLinks
Starter kit for the black box optimization challenge at Neurips 2020
☆115Updated 5 years ago
Alternatives and similar repositories for bbo_challenge_starter_kit
Users that are interested in bbo_challenge_starter_kit are comparing it to the libraries listed below
Sorting:
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆156Updated 4 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 5 years ago
- ☆182Updated last year
- ☆50Updated last year
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- ☆71Updated 4 years ago
- ☆172Updated last year
- Evolution Strategy Library☆55Updated 5 years ago
- ☆309Updated 4 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆61Updated 5 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆115Updated 8 years ago
- Functional ANOVA☆125Updated 8 months ago
- PyTorch port and extension of the Deep Bayesian Bandits Library☆43Updated 6 years ago
- ☆69Updated 5 years ago
- Code repository for Ensemble Bayesian Optimization☆55Updated 6 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆191Updated 3 years ago
- Python implementation of GLN in different frameworks☆97Updated 5 years ago
- Naszilla is a Python library for neural architecture search (NAS)☆314Updated 2 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆109Updated last year
- Bayesian neural network package☆152Updated 4 years ago
- Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…☆248Updated 5 years ago
- ☆82Updated 2 years ago
- ☆59Updated 6 years ago
- ☆116Updated 2 years ago
- Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…☆148Updated 2 years ago
- ☆79Updated 5 years ago
- This project was moved to: https://github.com/coax-dev/coax☆161Updated 3 years ago
- Better, faster hyper-parameter optimization☆113Updated last year
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 8 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago