Dissecting the weight space of neural networks
☆18Apr 16, 2021Updated 5 years ago
Alternatives and similar repositories for nws
Users that are interested in nws are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation for Proximal Neural Networks.☆11Sep 17, 2021Updated 5 years ago
- [ICML'24] Code for the loss functions and metrics presented in "Bridging mini-batch and asymptotic analysis in contrastive learning: From…☆11Sep 5, 2024Updated 2 years ago
- ☆12Jan 9, 2024Updated 2 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆46Dec 8, 2022Updated 3 years ago
- Model Zoos published at the NeurIPS 2022 Dataset & Benchmark track: "Model Zoos: A Dataset of Diverse Populations of Neural Network Model…☆62Oct 2, 2025Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Used to create perfusion maps of computed tomography perfusion☆15Dec 1, 2016Updated 9 years ago
- Kolmogorov-Arnold networks (KAN) as implicit functions (like NeRF but simpler)☆15May 16, 2024Updated 2 years ago
- A python script to convert and down-sample mesh data into pointclouds using FPS algorithm.☆18Aug 11, 2021Updated 5 years ago
- Colab notebooks for d2l-book☆11Dec 5, 2019Updated 6 years ago
- [NeurIPS'24] Official PyTorch implementation for paper "Knowledge Composition using Task Vectors with Learned Anisotropic Scaling"☆28Feb 24, 2025Updated last year
- ☆12Oct 17, 2018Updated 8 years ago
- ☆10Jun 3, 2024Updated 2 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Dec 27, 2022Updated 3 years ago
- A PyTorch annotated replication of the paper: https://arxiv.org/abs/2006.10637☆21Nov 20, 2020Updated 5 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.
- [ICLR 2026] Official implementation for "RedCodeAgent: Automatic Red-teaming Agent against Diverse Code Agents"☆15Apr 24, 2026Updated 6 months ago
- ☆13Jul 14, 2024Updated 2 years ago
- [NeurIPS'24 Oral] Official repository for the paper "Scale Equivariant Graph Metanetworks"☆23Nov 24, 2024Updated last year
- The fastest lightweight, embeddable tiktoken-compatible Rust core.☆14Jul 22, 2026Updated 3 months ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆15Apr 27, 2019Updated 7 years ago
- Matlab examples for BART☆31Jul 27, 2016Updated 10 years ago
- A pytorch implementation for variational network for MRI reconstruction☆27Aug 25, 2020Updated 6 years ago
- Code and data for automatic paraphrase dataset augmentation.☆11Mar 8, 2021Updated 5 years ago
- Adjust text size in Obsidian Graph View☆12Feb 17, 2025Updated last year
- 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.
- Code for "Effective Bayesian Heteroscedastic Regression with Deep Neural Networks" (NeurIPS 2023)☆26Mar 21, 2025Updated last year
- Taichi Course 01 Final Project Template☆13Dec 13, 2021Updated 4 years ago
- ☆15Sep 11, 2022Updated 4 years ago
- Double Descent results for FCNNs on MNIST, extended by Label Noise (Reconciling Modern Machine-Learning Practice and the Classical Bias–V…☆15Oct 24, 2023Updated 3 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Mar 3, 2020Updated 6 years ago
- Mixture of Expert (MoE) techniques for enhancing LLM performance through expert-driven prompt mapping and adapter combinations.☆11Feb 11, 2024Updated 2 years ago
- A database of over 1.4 billion 3x3 convolution filters extracted from hundreds of diverse CNN models with relevant meta information (CVPR…☆34Jun 28, 2023Updated 3 years ago
- Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.☆13Jun 14, 2020Updated 6 years ago
- A Data-Driven Approach to Predict the Success of Bank Telemarketing☆10Apr 27, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Code for the paper "Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction" …☆13Sep 6, 2023Updated 3 years ago
- Conditional Wasserstein Generative Adversarial Network for image-to-image translation.☆26May 24, 2020Updated 6 years ago
- A comprehensive overview of Data Distillation and Condensation (DDC). DDC is a data-centric task where a representative (i.e., small but …☆13Dec 1, 2022Updated 3 years ago
- Benchmarks for Macro Neural Architecture Search; used and described in the paper "Local Search is a Remarkably Strong Baseline for Neural…☆13Jul 25, 2024Updated 2 years ago
- SCoRe: Training Language Models to Self-Correct via Reinforcement Learning☆17May 14, 2026Updated 5 months ago
- Official implementation of "Figure It Out: Improve the Frontier of Reasoning with Active Visual Thinking"☆17Jan 13, 2026Updated 9 months ago
- Max Mahalanobis Training (ICML 2018 + ICLR 2020)☆90Dec 21, 2020Updated 5 years ago