Code for Stochastic Hyperparameter Optimization through Hypernetworks
☆29Jun 11, 2018Updated 8 years ago
Alternatives and similar repositories for hypernet-hypertraining
Users that are interested in hypernet-hypertraining are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Lifelong Learning via Progressive Distillation and Retrospection☆14Apr 2, 2019Updated 7 years ago
- First attempt to use the previous CPPN-GAN-VAE model to train on CIFAR-10 images.☆39Apr 6, 2016Updated 10 years ago
- Official code for the paper "Image generation with shortest path diffusion" accepted at ICML 2023.☆24Jul 10, 2023Updated 3 years ago
- ☆64Feb 7, 2024Updated 2 years ago
- ☆24Feb 3, 2019Updated 7 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- customized GPflow with simple Tensorflow API☆17Aug 7, 2019Updated 7 years ago
- Natural Gradient, Variational Inference☆29Jan 13, 2020Updated 6 years ago
- Generative random network models and Bayesian inference algorithms☆10May 5, 2016Updated 10 years ago
- MCMC for the Dark Energy Spectroscopic Instrument☆13Apr 27, 2016Updated 10 years ago
- Released code for the paper 'End-to-end Multiple Instance Learning for Whole-Slide Cytopathology of Urothelial Carcinoma'☆10Nov 24, 2021Updated 4 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22May 5, 2019Updated 7 years ago
- ☆11Sep 20, 2016Updated 10 years ago
- Supporting code for the paper: Neural Fine-Tuning Search for Few-Shot Learning. Eustratiadis et al. (ICLR 2023)☆10Jun 15, 2023Updated 3 years ago
- Transformer-based few-shot semantic segmentation☆12Aug 4, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆61Jan 12, 2019Updated 7 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆39Feb 21, 2018Updated 8 years ago
- A collection of python routines to help identify and morph objects.☆13Oct 2, 2021Updated 5 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Apr 19, 2016Updated 10 years ago
- Linear maps as a GADT☆14Dec 17, 2012Updated 13 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆47Sep 17, 2019Updated 7 years ago
- Deep GPs with GPy☆31May 18, 2016Updated 10 years ago
- ☆18Mar 20, 2022Updated 4 years ago
- Bottom-up feature restoration☆16Aug 30, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Reducing Reparameterization Gradient Variance code.☆33Jun 5, 2017Updated 9 years ago
- Code for 'Contrastive Multi-Document Question Generation'☆11Oct 16, 2022Updated 4 years ago
- Deep convolutional gaussian processes.☆82Sep 4, 2019Updated 7 years ago
- DS-GA 1003: Machine Learning and Computational Statistics, Spring 2016☆16Jan 25, 2017Updated 9 years ago
- Single-Life Reinforcement Learning☆14Dec 17, 2022Updated 3 years ago
- Active learning of GP hyperparameters following Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," (UAI 2014…☆16Aug 4, 2017Updated 9 years ago
- Optimizing control variates for black-box gradient estimation☆163Jul 26, 2019Updated 7 years ago
- Python library to compress LitGPT models for resource efficient inference.