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:
- Code Repository for the NeurIPS 2022 paper: "Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights".☆19Jul 10, 2024Updated 2 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Jan 19, 2023Updated 3 years ago
- An Optax-based JAX implementation of the IVON optimizer for large-scale VI training of NNs (ICML'24 spotlight)☆10Dec 19, 2024Updated last year
- 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
- This is the della guide for Zhuang's group at Princeton University.☆14Mar 24, 2026Updated 7 months 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.
- ☆10Oct 27, 2019Updated 7 years ago
- ☆10Jun 3, 2019Updated 7 years ago
- ☆10Nov 1, 2022Updated 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
- Implementations of growing and pruning in neural networks☆22Jul 26, 2023Updated 3 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 abstracting, evaluating, and visualizing Markov Decision Processes.☆11Jan 12, 2017Updated 9 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Aug 6, 2018Updated 8 years ago
- [AAAI-23] Improving Pareto Front Learning via Multi-Sample Hypernetworks☆10Aug 22, 2024Updated 2 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.
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Feb 1, 2022Updated 4 years ago
- Modular Adversarial Robustness Toolkit☆21Jul 13, 2026Updated 3 months ago
- This is a Spark implementation (Python API) for Distributed Stochastic Gradient Descent based on☆12Apr 18, 2015Updated 11 years ago
- Meta-Learning with Warped Gradient Descent☆92Mar 5, 2021Updated 5 years ago
- Codes and data for CIKM 2022 paper "RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation"☆12Aug 16, 2022Updated 4 years ago
- ☆17Oct 22, 2020Updated 6 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆39Jan 18, 2019Updated 7 years ago
- Spectral Normalization and Projection Discriminator☆18Nov 13, 2018Updated 7 years ago
- Implementation of the paper 'Stochastic Wasserstein Barycenters'☆11Oct 17, 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.
- Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.☆11Jun 12, 2019Updated 7 years ago
- Reference implementation of divergence triangle https://arxiv.org/abs/1812.10907☆15Mar 24, 2023Updated 3 years ago
- ☆10Sep 9, 2022Updated 4 years ago
- HSML Dynamic version for ICML 2019☆12Jul 11, 2019Updated 7 years ago
- A code base for the First Bazi dataset and First Bazi AI System.☆14Nov 12, 2025Updated 11 months ago
- ☆23Apr 13, 2024Updated 2 years ago
- Demo for the paper titled "Learning to Compare: Relation Network for Few-Shot Learning"☆29Dec 28, 2017Updated 8 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
- On the decision boundary of deep neural networks☆37Aug 23, 2018Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Path-SGD: Path-Normalized Optimization in Deep Neural Networks☆19Nov 26, 2018Updated 7 years ago
- Automatic Recall Machines: Internal Replay, Continual Learning and the Brain☆11Jul 14, 2020Updated 6 years ago
- Convert a Caffe Model to a Theano Model☆11Mar 30, 2015Updated 11 years ago
- Tensorflow Implementation for paper "self-supervised generative adversarial networks"☆39Sep 9, 2020Updated 6 years ago
- Implementations of various parallel algorithms for matrix factorization (including DSGD++)☆16Jul 14, 2017Updated 9 years ago
- Unofficial Pytorch Implementation Of AdversarialAutoAugment(ICLR2020)☆21Feb 9, 2021Updated 5 years ago
- Code for spike coding networks☆16Jan 8, 2021Updated 5 years ago