Lua implementation of Entropy-SGD
☆80Apr 9, 2018Updated 8 years ago
Alternatives and similar repositories for entropy-sgd
Users that are interested in entropy-sgd are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- can calculate the Hessian matrix and/or its spectrum for simple neural nets☆11May 7, 2018Updated 8 years ago
- ☆38Mar 17, 2018Updated 8 years ago
- ☆137Oct 23, 2017Updated 9 years ago
- Reproducible code for Augmentation paper☆17Jan 23, 2019Updated 7 years ago
- TensorFlow implementation of entropy SGD☆12Aug 9, 2018Updated 8 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Nov 21, 2018Updated 7 years ago
- An implementation of KFAC for TensorFlow☆198Feb 11, 2022Updated 4 years ago
- ☆13Oct 8, 2021Updated 5 years ago
- Riemannian approach to batch normalization☆18Nov 17, 2017Updated 8 years ago
- Code for "On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length", ICLR 2019☆11Dec 8, 2022Updated 3 years ago
- Code for AAAI 2024 paper: CR-SAM: Curvature Regularized Sharpness-Aware Minimization☆12Nov 29, 2024Updated last year
- PyTorch AutoNEB implementation to identify minimum energy paths, e.g. in neural network loss landscapes☆57Sep 14, 2022Updated 4 years ago
- DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows☆26Mar 20, 2017Updated 9 years ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆15Apr 27, 2019Updated 7 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.
- A Random Matrix Approach to Extreme Learning Machine☆14Feb 23, 2018Updated 8 years ago
- Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"☆11Jan 20, 2020Updated 6 years ago
- Code to estimate Renormalized Mutual Information in simple settings☆13Mar 8, 2021Updated 5 years ago
- ☆31May 8, 2017Updated 9 years ago
- A distributed torch framework for heterogeneous systems☆27Jan 12, 2019Updated 7 years ago
- Analyze the dynamic stability of SGD☆13Nov 25, 2018Updated 7 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆154Jun 22, 2023Updated 3 years ago
- Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"☆147Apr 24, 2017Updated 9 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆475Oct 23, 2026Updated last week
- 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.
- Hessian Free Optimization with Tensorflow☆29Mar 10, 2018Updated 8 years ago
- ☆25Feb 4, 2017Updated 9 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆75Jun 9, 2016Updated 10 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Dec 27, 2022Updated 3 years ago
- ☆23Jun 15, 2022Updated 4 years ago
- Fast Scattering Transform with CuPy/PyTorch☆295Feb 22, 2020Updated 6 years ago
- GWR Toolbox☆14Jan 28, 2019Updated 7 years ago
- C++ package for learning optimal wavelet bases using a neural network approach.☆14Dec 2, 2016Updated 9 years ago
- code to reproduce the empirical results in the research paper☆39Oct 12, 2021Updated 5 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.
- Spark and NumPy implementations of Newton Sketch.☆10Jul 24, 2018Updated 8 years ago
- MPI for Torch☆60May 22, 2017Updated 9 years ago
- This's an implementation of deepmind Visual Interaction Networks paper using pytorch☆165Feb 2, 2018Updated 8 years ago
- Convolution implementation with on the fly Toeplitz matrix generation.☆12Dec 17, 2016Updated 9 years ago
- ☆23Jan 23, 2024Updated 2 years ago
- This is the Pytorch version of the VisualBack prop algorithm on the VGG16 model. Theoretical description of the algorithm can be found fo…☆11Feb 7, 2019Updated 7 years ago
- #UAI2020 Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning☆14May 23, 2022Updated 4 years ago