amirgholami / HessianFlowView external linksLinks
☆83Jan 15, 2020Updated 6 years ago
Alternatives and similar repositories for HessianFlow
Users that are interested in HessianFlow are comparing it to the libraries listed below
Sorting:
- Efficient PyTorch Hessian eigendecomposition tools!☆384Feb 29, 2024Updated last year
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Mar 3, 2020Updated 5 years ago
- PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks☆773Jul 10, 2025Updated 7 months ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆16Apr 27, 2019Updated 6 years ago
- Hessian spectral density estimation in TF and Jax☆125Sep 6, 2020Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Jun 17, 2024Updated last year
- Experimental framework for running pytorch experiments☆14Mar 6, 2023Updated 2 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆36Jun 25, 2020Updated 5 years ago
- ☆15Oct 26, 2022Updated 3 years ago
- ☆18Nov 13, 2019Updated 6 years ago
- code to reproduce the empirical results in the research paper☆38Oct 12, 2021Updated 4 years ago
- hessian in pytorch☆187Oct 27, 2020Updated 5 years ago
- Forecasting library in python☆13Sep 6, 2019Updated 6 years ago
- ☆11Jan 18, 2021Updated 5 years ago
- Full loss Hessian spectrum approximation tool.☆13Oct 9, 2019Updated 6 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆283Oct 24, 2022Updated 3 years ago
- [FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Desi…☆28Feb 7, 2023Updated 3 years ago
- An Algorithm to Quantify Robustness of Recurrent Neural Networks☆49Apr 24, 2020Updated 5 years ago
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆109Nov 5, 2020Updated 5 years ago
- Neural Network Quantization With Fractional Bit-widths☆11Feb 19, 2021Updated 4 years ago
- Official Implementation of Semantic Segmentation MAD☆11Jun 30, 2021Updated 4 years ago
- Code for "Online Learned Continual Compression with Adaptive Quantization Modules"☆27Nov 11, 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 5 years ago
- PyTorch implementation of semi-supervised GAN☆13Jan 10, 2018Updated 8 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆16Jan 16, 2020Updated 6 years ago
- structured sparsity regularization☆14Oct 12, 2019Updated 6 years ago
- All about acceleration and compression of Deep Neural Networks☆33Nov 5, 2019Updated 6 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Jul 2, 2019Updated 6 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Jun 12, 2023Updated 2 years ago
- This is a Pytorch implementation of contrastive Learning(CL) baselines.☆14Aug 29, 2022Updated 3 years ago
- Dual Path Networks on cifar-10 and fashion-mnist datasets☆18Aug 31, 2017Updated 8 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆18Apr 13, 2021Updated 4 years ago
- Provides a convenience Julia macro to extract fields from composite types☆15Feb 14, 2020Updated 6 years ago
- This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".☆14Oct 25, 2019Updated 6 years ago
- ☆43Jan 30, 2024Updated 2 years ago
- The differentiable OSQP solver layer for PyTorch☆65Dec 26, 2022Updated 3 years ago
- A PyTorch implementation of L-BFGS.☆625Feb 21, 2023Updated 2 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆36Jul 3, 2021Updated 4 years ago
- Implementation of linear CorEx and temporal CorEx.☆36Aug 17, 2021Updated 4 years ago