thegregyang / GP4ALinks
Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"
☆249Updated 5 years ago
Alternatives and similar repositories for GP4A
Users that are interested in GP4A are comparing it to the libraries listed below
Sorting:
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆106Updated 5 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆148Updated 2 years ago
- ☆172Updated last year
- Hessian spectral density estimation in TF and Jax☆124Updated 5 years ago
- ☆100Updated 4 years ago
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆191Updated last year
- Optimization with orthogonal constraints and on general manifolds☆130Updated 5 years ago
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆109Updated 5 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 5 years ago
- ☆214Updated 3 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆173Updated 6 years ago
- Hypergradient descent☆147Updated last year
- 🧀 Pytorch code for the Fromage optimiser.☆129Updated last year
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆74Updated 9 years ago
- hessian in pytorch☆187Updated 5 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆150Updated 2 years ago
- A Machine Learning workflow for Slurm.☆152Updated 5 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆109Updated 2 years ago
- ☆153Updated 5 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆217Updated last month
- Autoregressive Energy Machines☆78Updated 3 years ago
- A manifold optimization library for deep learning☆250Updated 4 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆93Updated 5 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆191Updated 3 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 7 years ago
- ☆251Updated 3 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆53Updated 4 years ago
- Normalizing Flows in Jax☆107Updated 5 years ago