☆198Mar 5, 2026Updated 6 months ago
Alternatives and similar repositories for hidden-networks
Users that are interested in hidden-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:
- ☆20Nov 27, 2022Updated 3 years ago
- Javascript library for visualizing dynamic neural networks across time.☆13Dec 9, 2019Updated 6 years ago
- ☆230Jul 25, 2024Updated 2 years ago
- Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing …☆51Feb 24, 2022Updated 4 years ago
- Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…☆91Dec 22, 2022Updated 3 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.
- A repository in preparation for open-sourcing lottery ticket hypothesis code.☆640Sep 6, 2022Updated 4 years ago
- [ICLR 2023] 'Revisiting Pruning At Initialization Through The Lens of Ramanujan Graph" by Duc Hoang, Shiwei Liu, Radu Marculescu, Atlas W…☆14Aug 4, 2023Updated 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
- Experiments from "The Generalization-Stability Tradeoff in Neural Network Pruning": https://arxiv.org/abs/1906.03728.☆14Oct 23, 2020Updated 5 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
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆106Feb 18, 2020Updated 6 years ago
- ☆17Jul 10, 2022Updated 4 years ago
- [CVPR '23 Highlight] Official repository for the paper "Quantum Multi-Model Fitting".☆12Mar 7, 2025Updated last year
- Local search for NAS☆18Nov 3, 2020Updated 5 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.
- The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.☆20Jun 16, 2023Updated 3 years ago
- [ICLR2023] NTK-SAP: Improving neural network pruning by aligning training dynamics☆20May 1, 2023Updated 3 years ago
- A generic code base for neural network pruning, especially for pruning at initialization.☆32Sep 3, 2022Updated 4 years ago
- ☆120Jun 13, 2020Updated 6 years ago
- ☆19Dec 10, 2021Updated 4 years ago
- Neuron Merging: Compensating for Pruned Neurons (NeurIPS 2020)☆43Feb 4, 2021Updated 5 years ago
- Pruning methods for pytorch with an optimizer-like interface☆15Apr 14, 2020Updated 6 years ago
- ☆24Apr 5, 2022Updated 4 years ago
- The codes for ECCV'22: Learning to Train a Point Cloud Reconstruction Network without Matching☆10Nov 16, 2022Updated 3 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.
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54May 8, 2020Updated 6 years ago
- Implementation of Effective Sparsification of Neural Networks with Global Sparsity Constraint☆31Mar 24, 2022Updated 4 years ago
- A Signal Propagation Perspective for Pruning Neural Networks at Initialization☆14Jun 23, 2020Updated 6 years ago
- Code for the paper "Adversarial Neural Pruning with Latent Vulnerability Suppression"☆15Nov 23, 2022Updated 3 years ago
- This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…☆351Oct 3, 2023Updated 2 years ago
- ☆23Oct 24, 2022Updated 3 years ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆138Mar 5, 2026Updated 6 months ago
- SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations☆14Jan 6, 2022Updated 4 years ago
- Comparison of method "Pruning at initialization prior to training" (Synflow/SNIP/GraSP) in PyTorch☆18May 12, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆19Oct 12, 2021Updated 4 years ago
- [IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.☆59Oct 10, 2023Updated 2 years ago
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆32Mar 30, 2022Updated 4 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆337Jan 26, 2023Updated 3 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆140Mar 30, 2020Updated 6 years ago
- ☆20Oct 3, 2019Updated 6 years ago
- Pruning is all you need (hopefully)☆12Sep 7, 2022Updated 4 years ago