2prime / Numerical-AlgorithmsLinks
Numerical Experiments
☆15Updated 7 years ago
Alternatives and similar repositories for Numerical-Algorithms
Users that are interested in Numerical-Algorithms are comparing it to the libraries listed below
Sorting:
- Seminar on Selected Tools☆24Updated 7 years ago
- Paper List For Linking ODE and Deep Learning☆246Updated 5 years ago
- Paper Reading☆72Updated 7 years ago
- ☆18Updated 7 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆44Updated 6 years ago
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆149Updated 2 years ago
- ☆83Updated 5 years ago
- hessian in pytorch☆187Updated 5 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- PyTorch implementation of Hessian Free optimisation☆43Updated 6 years ago
- A Chainer extension for K-FAC☆20Updated 6 years ago
- Optimization with orthogonal constraints and on general manifolds☆130Updated 5 years ago
- Limitations of the Empirical Fisher Approximation☆49Updated 9 months ago
- ☆68Updated 6 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34Updated 2 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆173Updated 6 years ago
- NTK reading group☆87Updated 6 years ago
- ☆35Updated 4 years ago
- Machine Learning Course Materials, Tsinghua IIIS☆19Updated 7 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Updated 6 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆77Updated last year
- Visualization of mean field and neural tangent kernel regime☆21Updated last year
- Code For Beyond Finite Layer Neural Network:Bridging Deep Architects and Numerical Differential Equations☆15Updated 6 years ago
- Group project "Algorithms for large-scale optimal transport". Implement ADMMs and Sinkhorn's Algorithms.☆11Updated 6 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆106Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- Stochastic Optimization for Optimal Transport☆22Updated 9 years ago