Generative Model for Neural Networks
☆25Jul 2, 2020Updated 6 years ago
Alternatives and similar repositories for HyperGAN
Users that are interested in HyperGAN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of paper "Flat Metric Minimization with Applications in Generative Modeling"☆19May 14, 2019Updated 7 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Jan 19, 2023Updated 3 years ago
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆31May 15, 2024Updated 2 years ago
- A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturb…☆12Aug 5, 2020Updated 6 years ago
- ☆10Jun 3, 2019Updated 7 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆10Nov 1, 2022Updated 3 years ago
- Implementations of growing and pruning in neural networks☆22Jul 26, 2023Updated 3 years ago
- Density Constrained Reinforcement Learning☆12Mar 24, 2023Updated 3 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Nov 10, 2020Updated 5 years ago
- An example showing how to use jax to train resnet50 on multi-node multi-GPU☆20Jul 4, 2022Updated 4 years ago
- Code for AISTATS 2017 paper on "Conjugate-Computation Variational Inference"☆20Jul 10, 2020Updated 6 years ago
- Code for abstracting, evaluating, and visualizing Markov Decision Processes.☆11Jan 12, 2017Updated 9 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Feb 1, 2022Updated 4 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Aug 6, 2018Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆23Apr 5, 2023Updated 3 years ago
- ☆17Oct 22, 2020Updated 5 years ago
- This is a Spark implementation (Python API) for Distributed Stochastic Gradient Descent based on☆12Apr 18, 2015Updated 11 years ago
- Modular Adversarial Robustness Toolkit☆21Jul 13, 2026Updated 2 months ago
- Direct Differentiable Augmentation Search☆14Sep 5, 2021Updated 5 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆39Jan 18, 2019Updated 7 years ago
- Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.☆26Jul 21, 2023Updated 3 years ago
- Meta-Learning with Warped Gradient Descent☆92Mar 5, 2021Updated 5 years ago
- Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.☆11Jun 12, 2019Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Implementation of the paper 'Stochastic Wasserstein Barycenters'☆11Oct 17, 2018Updated 7 years ago
- PyTorch Implementation of the paper "Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architec…☆10Sep 18, 2025Updated last year
- ☆17Dec 11, 2022Updated 3 years ago
- ☆23Apr 13, 2024Updated 2 years ago
- Reference implementation of divergence triangle https://arxiv.org/abs/1812.10907☆15Mar 24, 2023Updated 3 years ago
- HSML Dynamic version for ICML 2019☆12Jul 11, 2019Updated 7 years ago
- ☆10Sep 9, 2022Updated 4 years ago
- Spatial Mixture-of-Experts☆21Nov 29, 2022Updated 3 years ago
- Convert a Caffe Model to a Theano Model☆11Mar 30, 2015Updated 11 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- On the decision boundary of deep neural networks☆37Aug 23, 2018Updated 8 years ago
- baseline mode for the ObjectNet competition☆18Jan 13, 2021Updated 5 years ago
- PyTorch implementation for "Discovery of Incremental Skills" (DISk) algorithm from ICLR 2022 paper "One After Another: Learning Increment…☆21Mar 22, 2022Updated 4 years ago
- Tensorflow Implementation for paper "self-supervised generative adversarial networks"☆39Sep 9, 2020Updated 6 years ago
- This repository contains the code for our paper "Augmenting Black-box LLMs with Medical Textbooks for Clinical Question Answering" [EMNLP…☆14Oct 8, 2024Updated 2 years ago
- Code that goes along with paper http://arxiv.org/abs/1801.01952☆46Mar 6, 2018Updated 8 years ago
- Learning from Trajectories via Subgoal Discovery☆12Dec 10, 2020Updated 5 years ago