Code for paper Stochastic Deep Gaussian Processes over Graphs
☆20Nov 1, 2021Updated 4 years ago
Alternatives and similar repositories for DGPG
Users that are interested in DGPG are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38May 30, 2019Updated 6 years ago
- Codes for the ICLR 2022 paper: Trigger Hunting with a Topological Prior for Trojan Detection☆11Sep 19, 2023Updated 2 years ago
- ☆28Feb 15, 2019Updated 7 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆25Feb 11, 2024Updated 2 years ago
- ☆19Mar 26, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆10Dec 11, 2021Updated 4 years ago
- Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).☆25Sep 16, 2019Updated 6 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Jun 11, 2020Updated 5 years ago
- Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.☆57Mar 24, 2022Updated 4 years ago
- Pytorch Dataloader - GTSRB (German Traffic Sign Recognition)☆20Apr 16, 2019Updated 7 years ago
- This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."☆24Apr 5, 2022Updated 4 years ago
- ☆29Jun 17, 2024Updated last year
- [CVPR 2023] The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robust…☆25May 25, 2023Updated 3 years ago
- Code for "Label-Consistent Backdoor Attacks"☆57Nov 22, 2020Updated 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.
- ☆33May 30, 2022Updated 3 years ago
- Deep Gaussian Processes in Python☆232May 4, 2021Updated 5 years ago
- Pytorch Datasets for Easy-To-Hard☆30Jan 9, 2025Updated last year
- Code for "Neuron Shapley: Discovering the Responsible Neurons"☆27May 1, 2024Updated 2 years ago
- ☆57Oct 5, 2022Updated 3 years ago
- ☆12Jun 5, 2015Updated 10 years ago
- ☆11Mar 24, 2023Updated 3 years ago
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆28Feb 8, 2021Updated 5 years ago
- Course project for cs224w☆12Jul 13, 2019Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Library for Deep Gaussian Processes based on GPflow☆18Mar 31, 2020Updated 6 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆35Jul 3, 2021Updated 4 years ago
- Implementation of paper Long-Term Effect Estimation with Surrogate Representation☆14Oct 20, 2020Updated 5 years ago
- [NeurIPS'22] Official Repository for Characterizing Datapoints via Second-Split Forgetting☆16Aug 11, 2023Updated 2 years ago
- Pytorch Implementation of DeepLGR, ECML-PKDD-20☆10Jul 29, 2020Updated 5 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆38Jun 14, 2022Updated 3 years ago
- ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"☆38May 31, 2022Updated 3 years ago
- Summaries and notes on CounterFactual Machine Learning papers☆19Dec 13, 2018Updated 7 years ago
- ☆12Oct 12, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆15Oct 25, 2021Updated 4 years ago
- Implementation of the paper: 'Robust mixture modelling using the t distribution', D. Peel and G. J. McLachlan.☆30Dec 20, 2023Updated 2 years ago
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Aug 11, 2017Updated 8 years ago
- Learning Dynamical Systems that Generalize Across Environments☆20Feb 10, 2022Updated 4 years ago
- Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"☆40Jul 8, 2024Updated last year
- 目前多流形学习算法matlab代码☆13Nov 23, 2018Updated 7 years ago
- A network-based approach to study swarm intelligence☆14Sep 17, 2024Updated last year