Implementation of the unbounded depth neural network from the paper Variational Inference for Infinitely Deep Neural Networks
☆17Sep 21, 2022Updated 3 years ago
Alternatives and similar repositories for unbounded-depth-neural-networks
Users that are interested in unbounded-depth-neural-networks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Generating global explanations from local ones☆11Nov 11, 2022Updated 3 years ago
- Synthetic graph generator☆12Nov 7, 2023Updated 2 years ago
- A pytorch-based implementation of Dirichlet Process Mixture Model (DPMM)☆13Nov 27, 2025Updated 4 months ago
- 2nd Place Model for Kaggle Competition☆11Jul 2, 2014Updated 11 years ago
- ☆14Oct 5, 2022Updated 3 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.
- Molecular Explanation Generator☆17Jan 26, 2022Updated 4 years ago
- Tile map of the Computer Science Department of Università di Pisa☆12Mar 19, 2021Updated 5 years ago
- ☆12Mar 24, 2025Updated last year
- A Learnable LSH Framework for Efficient NN Training☆34Jul 22, 2021Updated 4 years ago
- An assembler for Consolite ISA written in C++.☆15Apr 5, 2016Updated 10 years ago
- NeurIPS22 "RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection" and T-PAMI Extension☆20Feb 21, 2025Updated last year
- PhD Thesis☆16May 26, 2021Updated 4 years ago
- ☆29Oct 4, 2022Updated 3 years ago
- [WWW'2024] "Simple Multigraph Convolution Networks"☆13May 21, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ICLR 2022 paper☆16May 6, 2022Updated 3 years ago
- DIfferentiable MOlecular Simulator (DIMOS): A pyTorch based framework for machine-learning enhanced simulations☆31Nov 11, 2025Updated 5 months ago
- It is a source code of Book store app in dot net 6 mvc (upgraded to .net 9) video of youtube☆11Feb 2, 2025Updated last year
- ☆22Aug 28, 2022Updated 3 years ago
- FedRay: a Research Framework for Federated Learning based on Ray☆22Nov 20, 2024Updated last year
- Official Repository of Adaptive Message Passing☆20Jul 7, 2025Updated 9 months ago
- Attribution-based Parameter Decomposition☆34Jun 11, 2025Updated 10 months ago
- ☆32Oct 13, 2021Updated 4 years ago
- The codes are from MICCAI 2022, "Dual-graph Learning Convolutional Networks for Interpretable Alzheimer’s Disease Diagnosis"☆19Dec 7, 2023Updated 2 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- (ICLR24) A Lie Group Approach to Riemannian Batch Normalization.☆22Mar 2, 2025Updated last year
- [NeurIPS 2024] VeLoRA : Memory Efficient Training using Rank-1 Sub-Token Projections☆21Oct 15, 2024Updated last year
- ☆20Mar 8, 2024Updated 2 years ago
- List of papers related to State Space Models (Mamba) in Vision.☆37Mar 9, 2026Updated last month
- Implementation of Action Matching for the Schrödinger equation☆25Jun 18, 2023Updated 2 years ago
- [WWW 2023] Code for "Graph Neural Networks with Diverse Spectral Filtering"☆22Dec 15, 2023Updated 2 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆33Sep 26, 2019Updated 6 years ago
- Code for our EMNLP '22 paper "Fixing Model Bugs with Natural Language Patches"☆19Dec 7, 2022Updated 3 years ago
- Collection of resources that combine dynamic systems, control with deep learning.☆29May 18, 2021Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆30Apr 21, 2023Updated 2 years ago
- This is a Pytorch implementation of our "Learning on Attribute-Missing Graphs".☆30Aug 10, 2022Updated 3 years ago
- Jupyter notebooks showing to implement statistical functions.☆14Jun 14, 2020Updated 5 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆43Dec 5, 2021Updated 4 years ago
- ASP.NET CORE (MVC) PROJECT☆15Nov 6, 2023Updated 2 years ago
- Poster for the Emacs conference 2022☆12Jul 30, 2022Updated 3 years ago
- Wasserstein Based Domain Adaptation Model☆46Jan 2, 2019Updated 7 years ago