Code to generate figures of paper "When do spectral gradient updates help in deep learning?"
☆16Dec 3, 2025Updated 8 months ago
Alternatives and similar repositories for specgd
Users that are interested in specgd are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Spectral Sphere Optimizer☆132Mar 23, 2026Updated 4 months ago
- ☆70Apr 8, 2026Updated 4 months ago
- A single-line modification to any (dualizer-based) optimizer that allows the optimizer to adapt to the scale of the gradients as they cha…☆19Jan 11, 2025Updated last year
- ☆16Dec 11, 2025Updated 7 months ago
- Implementation of "RaanA: A Fast, Flexible, and Data-Efficient Post-Training Quantization Algorithm"☆17Apr 11, 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.
- Welcome to the 'In Context Learning Theory' Reading Group☆31Nov 8, 2024Updated last year
- ☆10Aug 13, 2021Updated 4 years ago
- Github Repository for the HOI4 ULTRA Project.☆11Updated this week
- ☆21Jun 12, 2025Updated last year
- A toy eval suite for tracing generalization dynamics of LM pre-training☆19May 19, 2026Updated 2 months ago
- Measuring the Signal to Noise Ratio in Language Model Evaluation☆31Aug 19, 2025Updated 11 months ago
- Code for ICLR 2023 Harnessing Out-Of-Distribution Examples via Augmenting Content and Style☆13Jul 3, 2023Updated 3 years ago
- Combining SOAP and MUON☆25Feb 11, 2025Updated last year
- [ICML 2025] Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning☆15Jul 14, 2025Updated last year
- 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.
- DP-GNN design that ensures both model weights and inference procedure differentially private (NeurIPS 2023)☆11Oct 14, 2023Updated 2 years ago
- The loss landscape of Large Language Models resemble basin!☆43Jul 8, 2025Updated last year
- [ICLR 2025 Spotlight] Code release for "Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training"☆19Feb 20, 2025Updated last year
- Code for paper Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks☆13Aug 9, 2022Updated 4 years ago
- Official github page for the paper "Evaluating Deep Unlearning in Large Language Model"☆14Apr 25, 2025Updated last year
- ☆52Mar 9, 2026Updated 5 months ago
- GeoZarr extension for OpenLayers☆12Jun 27, 2024Updated 2 years ago
- ☆26Jun 29, 2025Updated last year
- RWKV-7 mini☆12Mar 29, 2025Updated last year
- 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.
- [NeurIPS 2025] Official implementation for our paper "Scaling Diffusion Transformers Efficiently via μP".☆100Nov 2, 2025Updated 9 months ago
- Short RL☆19Apr 16, 2026Updated 3 months ago
- [ACL 2025] Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models☆39Nov 4, 2025Updated 9 months ago
- Multi-Layer Sparse Autoencoders (ICLR 2025)☆30Feb 6, 2026Updated 6 months ago
- Official Code for ACL 2023 Outstanding Paper: World-to-Words: Grounded Open Vocabulary Acquisition through Fast Mapping in Vision-Languag…☆33Oct 20, 2023Updated 2 years ago
- My attempt to improve the speed of the newton schulz algorithm, starting from the dion implementation.☆42Apr 30, 2026Updated 3 months ago
- toy reproduction of Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts☆31Sep 1, 2024Updated last year
- Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)☆20Feb 17, 2023Updated 3 years ago
- Muon in Int8 Precision Made Possible☆20Jun 18, 2026Updated last month
- 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.
- Official Github for Wharton STAT 4830☆57Apr 16, 2026Updated 3 months ago
- Code for the paper "Function-Space Learning Rates"☆23Jun 3, 2025Updated last year
- ☆24Dec 6, 2025Updated 8 months ago
- ☆35Dec 31, 2025Updated 7 months ago
- Efficient Finetuning for OpenAI GPT-OSS☆24Oct 2, 2025Updated 10 months ago
- codebase for the SIMAT dataset and evaluation☆39Feb 16, 2022Updated 4 years ago
- Code for implementing central flows☆49Sep 5, 2025Updated 11 months ago