Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.
☆176Dec 20, 2018Updated 7 years ago
Alternatives and similar repositories for Harmonica
Users that are interested in Harmonica are comparing it to the libraries listed below
Sorting:
- ☆14Apr 7, 2017Updated 8 years ago
- SMT-LIB benchmarks for shape computations from deep learning models in PyTorch☆18Dec 21, 2022Updated 3 years ago
- Artifacts for SOSP'19 paper Optimizing Deep Learning Computation with Automatic Generation of Graph Substitutions☆21Apr 15, 2022Updated 3 years ago
- Experimental framework for running pytorch experiments☆14Mar 6, 2023Updated 3 years ago
- Tuning hyperparams fast with Hyperband☆596Aug 15, 2018Updated 7 years ago
- Robustness for Non-Parametric Classification: A Generic Attack and Defense☆18Nov 21, 2022Updated 3 years ago
- Simple (fast) transformer inference in PyTorch with torch.compile + lit-llama code☆10Aug 29, 2023Updated 2 years ago
- This is a TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DDPG)☆11Sep 14, 2017Updated 8 years ago
- simple python interface to SMAC.☆21Mar 27, 2018Updated 7 years ago
- Xmixers: A collection of SOTA efficient token/channel mixers☆28Sep 4, 2025Updated 6 months ago
- ☆17Feb 4, 2025Updated last year
- Host CIFAR-10.2 Data Set☆13Sep 22, 2021Updated 4 years ago
- Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle☆181Jul 25, 2024Updated last year
- [AAAI 2025] Augmenting Math Word Problems via Iterative Question Composing (https://arxiv.org/abs/2401.09003)☆23Oct 2, 2025Updated 5 months ago
- automated machine learning toolkit☆15Apr 8, 2018Updated 7 years ago
- Main machine learning training and deployment package☆18Jan 6, 2019Updated 7 years ago
- RoBO: a Robust Bayesian Optimization framework☆489Apr 30, 2019Updated 6 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆18Apr 13, 2021Updated 4 years ago
- A Caffe2 implementation of ShuffleNet V2.☆25Aug 6, 2018Updated 7 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆116Aug 5, 2017Updated 8 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆76Mar 25, 2023Updated 2 years ago
- Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models☆11Jun 19, 2024Updated last year
- Filter Response Normalization tested on better ImageNet baselines.☆35Mar 28, 2020Updated 5 years ago
- Multinomial Distribution Learning for Effective Neural Architecture Search☆208Jun 24, 2019Updated 6 years ago
- Code for "Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors"☆14Sep 27, 2018Updated 7 years ago
- Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017☆41Dec 5, 2017Updated 8 years ago
- Riemannian approach to batch normalization☆18Nov 17, 2017Updated 8 years ago
- Manifold Regularized Deep Neural Networks written in Python using numpy and gnumpy to run on GPUs.☆15May 14, 2017Updated 8 years ago
- Implementation of the most important parts of the Lottery Ticket Hypothesis Paper☆12Jul 2, 2018Updated 7 years ago
- Synchronizes a directory with a Git repository; particularly useful to track "dumb" collaboration software like DropBox☆18Mar 28, 2016Updated 9 years ago
- ☆22Nov 24, 2018Updated 7 years ago
- ☆18Nov 6, 2019Updated 6 years ago
- Tutorial on continuous control at Reinforcement Learning Summer School 2017.☆34Jul 3, 2017Updated 8 years ago
- Convert a Caffe Model to a Theano Model☆11Mar 30, 2015Updated 10 years ago
- A Caffe implementation of http://arxiv.org/abs/1512.07928☆39Jun 25, 2016Updated 9 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Sep 30, 2022Updated 3 years ago
- ☆26May 15, 2018Updated 7 years ago
- A global, black box optimization engine for real world metric optimization.☆1,319Mar 24, 2023Updated 2 years ago
- [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang W…☆27Sep 23, 2022Updated 3 years ago