YangletLiu / Tensor_Layer_for_Deep_Neural_Network_CompressionLinks
Apply CP, Tucker, TT/TR, HT to compress neural networks. Train from scratch.
☆17Updated 5 years ago
Alternatives and similar repositories for Tensor_Layer_for_Deep_Neural_Network_Compression
Users that are interested in Tensor_Layer_for_Deep_Neural_Network_Compression are comparing it to the libraries listed below
Sorting:
- MNIST experiment from Tensorizing neural networks (Novikov et al. 2015)☆14Updated 6 years ago
- A thoroughly investigated survey for tensorial neural networks.☆147Updated last year
- Metamodeling, sensitivity analysis and visualization using the tensor train format☆21Updated 3 years ago
- Model compression by constrained optimization, using the Learning-Compression (LC) algorithm☆71Updated 4 years ago
- TedNet: A Pytorch Toolkit for Tensor Decomposition Networks☆96Updated 3 years ago
- Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)☆37Updated 6 years ago
- code to show F-Principle in the DNN training☆59Updated 3 years ago
- 😎 A curated list of tensor decomposition resources for model compression.☆104Updated 3 weeks ago
- ☆14Updated 7 years ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆44Updated 6 years ago
- Pytorch implementation of KFAC - this is a port of https://github.com/tensorflow/kfac/☆30Updated last year
- Distributed K-FAC preconditioner for PyTorch☆94Updated last week
- Tensor Network Learning with PyTorch☆305Updated last year
- Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"☆42Updated 2 years ago
- Collect optimizer related papers, data, repositories☆99Updated last year
- Spectral Tensor Train Parameterization of Deep Learning Layers☆17Updated 4 years ago
- Deep convolutional tensor network☆11Updated 5 years ago
- dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers☆169Updated 2 years ago
- PyTorch implementation of Mixer-nano (#parameters is 0.67M, originally Mixer-S/16 has 18M) with 90.83 % acc. on CIFAR-10. Training from s…☆36Updated 4 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆107Updated 5 years ago
- ☆68Updated 6 years ago
- Neural Tangent Kernel Papers☆121Updated last year
- Matlab Notebook for visualizing random matrix theory results and their applications to machine learning☆135Updated 2 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆36Updated 4 years ago
- [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Di…☆70Updated last year
- ☆13Updated 4 years ago
- Tensor Train decomposition on TensorFlow☆227Updated 4 years ago
- ☆59Updated 5 years ago
- Tensor-Train decomposition in pytorch☆85Updated this week
- LipSDP - Lipschitz Estimation for Neural Networks☆71Updated 3 years ago