[ICML 2025] Official Pytorch code for "SASSHA: Sharpness-aware Adaptive Second-order Optimization With Stable Hessian Approximation"
☆23Aug 11, 2025Updated 10 months ago
Alternatives and similar repositories for Sassha
Users that are interested in Sassha are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆18Nov 10, 2025Updated 7 months ago
- [UAI 2025] Official implementation of "Critical Influence of Overparameterization on Sharpness-aware Minimization"☆20May 14, 2025Updated last year
- [EMNLP 2024] Official implementation of "Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimiza…☆28Feb 21, 2025Updated last year
- Hyperparameter search and metric visualization tool for personal research.☆18Apr 19, 2026Updated 2 months ago
- [ICML 2023] Official implementation of "A Closer Look at the Intervention Procedure of Concept Bottleneck Models"☆28Feb 19, 2024Updated 2 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.
- A Signal Propagation Perspective for Pruning Neural Networks at Initialization☆14Jun 23, 2020Updated 6 years ago
- Implementation of "Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes" (https://…☆13May 6, 2024Updated 2 years ago
- ☆15Apr 20, 2025Updated last year
- ☆49Dec 29, 2021Updated 4 years ago
- Official implementation for the paper "Controlled Sparsity via Constrained Optimization"☆12Aug 10, 2022Updated 3 years ago
- ☆24Oct 24, 2021Updated 4 years ago
- Meta-Learned Self-Supervised Detection☆21May 15, 2022Updated 4 years ago
- Official Implementation of "The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers (ECCV 2024)”☆26Jan 15, 2025Updated last year
- A generic code base for neural network pruning, especially for pruning at initialization.☆32Sep 3, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Pytorch code for experiments on Linear Transformers☆24Jan 12, 2024Updated 2 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆115Jun 26, 2019Updated 7 years ago
- [ICLR 25] A novel framework for building intrinsically interpretable LLMs with human-understandable concepts to ensure safety, reliabilit…☆33Feb 5, 2026Updated 4 months ago
- [ICLR 2023] "Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!" Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen…☆28Aug 29, 2023Updated 2 years ago
- ⚗ YOLO v1 PyTorch Implementation☆19May 19, 2022Updated 4 years ago
- [AAAI 2023] Official implementation of 'Anonymization for Skeleton Action Recognition'☆29Dec 29, 2022Updated 3 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆32Aug 13, 2020Updated 5 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆30Feb 19, 2019Updated 7 years ago
- Computational abilities and efficiency of neural networks☆61Jul 19, 2025Updated 11 months ago
- 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.
- Gradient-based hyperparameter optimization package with TensorFlow☆51Jul 13, 2019Updated 6 years ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models", our NeurIPS 2023 paper "Learning to Receive Help", and our ICML 2025 pa…☆80Apr 5, 2026Updated 2 months ago
- [IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.☆59Oct 10, 2023Updated 2 years ago
- Code for the paper: Why Transformers Need Adam: A Hessian Perspective☆65Mar 11, 2025Updated last year
- Code for data-aware compression of DeepSeek models☆75Dec 11, 2025Updated 6 months ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆94May 20, 2024Updated 2 years ago
- OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM☆311Sep 16, 2024Updated last year
- ☆637Updated this week
- [NeurIPS 2020] "The Lottery Ticket Hypothesis for Pre-trained BERT Networks", Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Ya…☆141Dec 30, 2021Updated 4 years ago
- 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.
- Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other …☆745Mar 24, 2026Updated 3 months ago
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆355Nov 30, 2023Updated 2 years ago
- Concept Bottleneck Models, ICML 2020☆255Feb 24, 2023Updated 3 years ago
- ☆271Dec 2, 2024Updated last year
- ☆198Mar 5, 2026Updated 3 months ago
- ☆229Jul 25, 2024Updated last year
- ☆293Dec 16, 2024Updated last year