paper lists and information on mean-field theory of deep learning
☆79Mar 25, 2019Updated 7 years ago
Alternatives and similar repositories for mean-field-theory-deep-learning
Users that are interested in mean-field-theory-deep-learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Delta Orthogonal Initialization for PyTorch☆18Jun 27, 2018Updated 8 years ago
- ☆35Mar 1, 2019Updated 7 years ago
- NTK reading group☆86Nov 14, 2019Updated 6 years ago
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Aug 16, 2020Updated 6 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆128Jul 6, 2023Updated 3 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.
- Fast and Easy Infinite Neural Networks in Python☆2,382Mar 1, 2024Updated 2 years ago
- Colab notebooks for d2l-book☆11Dec 5, 2019Updated 6 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Jun 11, 2020Updated 6 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆174Nov 10, 2019Updated 6 years ago
- Neural Tangent Kernel Papers☆122Jan 12, 2025Updated last year
- Convolutional Neural Tangent Kernel☆113Oct 22, 2019Updated 6 years ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆40Apr 13, 2023Updated 3 years ago
- ☆36Oct 3, 2023Updated 2 years ago
- Computing topological cavities of deep neural networks☆69Jul 14, 2020Updated 6 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.
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆25Feb 4, 2024Updated 2 years ago
- Code for Invariant Rep. Without Adversaries (NIPS 2018)☆36Dec 11, 2019Updated 6 years ago
- [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…☆84Dec 30, 2021Updated 4 years ago
- Fast-Slow Recurrent Neural Networks☆14Jan 31, 2018Updated 8 years ago
- Accelerating Transfer Learning with Robust Neural Nets☆11Oct 2, 2020Updated 5 years ago
- An adaptive training algorithm for residual network☆17Aug 22, 2020Updated 6 years ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆47May 26, 2026Updated 3 months ago
- Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"☆15Jun 3, 2020Updated 6 years ago
- This repository provides code source used in the paper: A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off☆13May 30, 2019Updated 7 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs☆24Jan 19, 2021Updated 5 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆110Aug 26, 2020Updated 6 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆46Jan 13, 2019Updated 7 years ago
- Simple CIFAR10 ResNet example with JAX.☆23Jun 1, 2021Updated 5 years ago
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆210Apr 13, 2026Updated 4 months 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
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆52Jul 23, 2020Updated 6 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆474Updated this week
- Analyzing deviation from orthogonality in RNNs☆16Oct 30, 2017Updated 8 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- ☆12Sep 26, 2019Updated 6 years ago
- Cycles agroecosystem model☆12Jun 11, 2026Updated 2 months ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆138Mar 5, 2026Updated 6 months ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆286Oct 24, 2022Updated 3 years ago
- repo for "Decision explanation and feature importance for invertible networks"☆14Nov 13, 2019Updated 6 years ago
- Code for PCA-OGD (AISTATS 2021)☆11Mar 16, 2021Updated 5 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆12Aug 17, 2021Updated 5 years ago