Apply CP, Tucker, TT/TR, HT to compress neural networks. Train from scratch.
☆17Nov 26, 2020Updated 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)☆14Oct 22, 2019Updated 6 years ago
- Metamodeling, sensitivity analysis and visualization using the tensor train format☆21Sep 8, 2022Updated 3 years ago
- We implement an efficient mechanism for compressing large networks by {\em tensorizing\/} network layers: i.e. mapping layers on to high-…☆11Jul 10, 2018Updated 7 years ago
- An implementation of various tensor-based decomposition for NN & RNN parameters☆18Jun 4, 2018Updated 7 years ago
- Probabilistic modelling with tensor networks☆30Nov 29, 2019Updated 6 years ago
- TedNet: A Pytorch Toolkit for Tensor Decomposition Networks☆96Apr 6, 2022Updated 3 years ago
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆43Oct 6, 2021Updated 4 years ago
- 收集整理大模型面试题☆12Aug 29, 2024Updated last year
- Public code release for the paper "Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training"☆11Oct 27, 2025Updated 4 months ago
- ☆11Jun 24, 2021Updated 4 years ago
- Network architecture for "Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images"☆10Feb 28, 2017Updated 9 years ago
- Self-Tuning Optimized Kalman Filtering (STOK) + DyNet simulation + connectivity metrics☆13May 10, 2021Updated 4 years ago
- PyTorch optimizers with sparse momentum and weight decay☆10Oct 3, 2020Updated 5 years ago
- ☆10Jul 30, 2023Updated 2 years ago
- Learning MLPs to replace GNN☆10Jun 3, 2023Updated 2 years ago
- Prioritized Sequence Experience Replay☆10Aug 16, 2021Updated 4 years ago
- Intro to Quantum Programming course. Just a collection of materials☆11Nov 24, 2023Updated 2 years ago
- Code for the paper "Learning Step-Size Adaptation in CMA-ES"☆12Mar 24, 2023Updated 2 years ago
- Native AI 是一个探索本地生活电商领域的多智能体系统，通过 AI 助手一站式解决用户吃喝玩乐住行等日常生活需求。系统基于大语言模型技术，主要为了探索Multi Agent的应用。☆12Apr 13, 2025Updated 10 months ago
- Code for the paper☆11May 24, 2024Updated last year
- MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation☆13Sep 2, 2024Updated last year
- Simple code for the tutorial on Polynomial Nets.☆13Jan 19, 2023Updated 3 years ago
- Modified CartPole-v0 OpenAI Gym environment with various noisy cases and Reinforcement Learning based controller☆10Dec 5, 2017Updated 8 years ago
- An AI project to provide `private` chat and RAG service. 一个提供私有化检索增强生成的AI项目☆11Jul 14, 2024Updated last year
- This is all the codes used in "Large Scale Online Kernel Learning"☆11Aug 8, 2017Updated 8 years ago
- ☆11Dec 6, 2020Updated 5 years ago
- Classical algorithms for solving binary quadratic models☆16Jan 27, 2026Updated last month
- PyTorch Implementations of Augmented Random Search☆17Feb 28, 2019Updated 7 years ago
- ☆12Dec 26, 2024Updated last year
- Concise implementation of image-to-image translation.☆14Jun 19, 2018Updated 7 years ago
- IEEE TVT paper related codes☆16Nov 23, 2020Updated 5 years ago
- ☆15Apr 1, 2023Updated 2 years ago
- A method to search for a subset of best performing items wrt black-box reward function☆15Jun 7, 2019Updated 6 years ago
- Deep RL for portfolio management☆13Aug 31, 2018Updated 7 years ago
- TAMU HELIOS Group PyTen Package☆14Nov 27, 2018Updated 7 years ago
- Python script for filtering Codeforces problems by division and index☆11Apr 13, 2015Updated 10 years ago
- WARNING: The Qboost demo is now maintained in a different GitHub account. To find this repo, please visit dwave-examples/qboost.☆16Jun 21, 2022Updated 3 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Dec 16, 2019Updated 6 years ago
- The official code for ICDM2023 paper: ' FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization'☆14Aug 16, 2024Updated last year