This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as recommendation and natural language processing. We showed this library can reduce the total model size by up to 100x in Facebook’s open sourced DLRM model while achieving same model quality. Our implementation …
☆193Jul 20, 2022Updated 3 years ago
Alternatives and similar repositories for FBTT-Embedding
Users that are interested in FBTT-Embedding are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Development repository for integrating FlexFlow (A distributed deep learning framework that supports flexible parallelization strategies)…☆29Oct 12, 2021Updated 4 years ago
- An implementation of a deep learning recommendation model (DLRM)☆4,042Jan 12, 2026Updated 5 months ago
- Code for the paper: Unified Gradient Reweighting for Model Biasing with Applications to Source Separation☆14Nov 16, 2020Updated 5 years ago
- ☆59Jul 6, 2020Updated 5 years ago
- ☆15Apr 26, 2022Updated 4 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.
- [KDD 2022] AutoShard: Automated Embedding Table Sharding for Recommender Systems☆22Mar 24, 2023Updated 3 years ago
- HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training☆1,064Mar 12, 2026Updated 3 months ago
- http://vlsiarch.eecs.harvard.edu/research/recommendation/☆135Sep 15, 2022Updated 3 years ago
- Enabling pure data parallel training of DLRM via caching and prefetching☆17Oct 29, 2021Updated 4 years ago
- High performance distributed framework for training deep learning recommendation models based on PyTorch.☆412Jun 6, 2026Updated last week
- [ICLR 2021] "UMEC: Unified Model and Embedding Compression for Efficient Recommendation Systems" by Jiayi Shen, Haotao Wang*, Shupeng Gui…☆39Dec 30, 2021Updated 4 years ago
- ☆28Oct 21, 2019Updated 6 years ago
- Tutorials about AutoML☆87Feb 24, 2022Updated 4 years ago
- Pytorch domain library for recommendation systems☆2,561Updated this week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Time-based Sequence Model for Personalization and Recommendation Systems☆49Aug 26, 2021Updated 4 years ago
- A Ray-based data loader with per-epoch shuffling and configurable pipelining, for shuffling and loading training data for distributed tra…☆18Jan 5, 2023Updated 3 years ago
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/☆1,568Updated this week
- u-MPS implementation and experimentation code used in the paper Tensor Networks for Probabilistic Sequence Modeling (https://arxiv.org/ab…☆19Jul 2, 2020Updated 5 years ago
- ☆18May 8, 2021Updated 5 years ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆81Jul 14, 2021Updated 4 years ago
- Metamodeling, sensitivity analysis and visualization using the tensor train format☆21Sep 8, 2022Updated 3 years ago
- A deep ranking personalization framework☆136Dec 17, 2025Updated 5 months ago
- ☆11Apr 5, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- PyTorch extensions for high performance and large scale training.☆3,407Apr 26, 2025Updated last year
- Chinese processing☆36Jan 29, 2014Updated 12 years ago
- Implementation for the paper entitled "Session-based Recommendation with Self-Attention Networks"☆14Apr 29, 2021Updated 5 years ago
- Set of datasets for the deep learning recommendation model (DLRM).☆51Dec 21, 2022Updated 3 years ago
- NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale da…☆1,147May 22, 2026Updated 3 weeks ago
- Probabilistic modelling with tensor networks☆29Nov 29, 2019Updated 6 years ago
- TensorDB: In-Database Tensor Manipulation with Tensor-Relational Query Plans☆21Jul 25, 2014Updated 11 years ago
- PyTorch toolbox for matrix product state models☆165Mar 26, 2024Updated 2 years ago
- Tensor Network Learning with PyTorch☆309May 23, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆16Jan 5, 2021Updated 5 years ago
- FINN.no Slate Dataset for Recommender Systems. A dataset containing all interactions (viewed items + response (clicked item / no click) f…☆54Jan 29, 2023Updated 3 years ago
- An implementation of RaFM. Xiaoshuang Chen, Yin Zheng, Jiaxiang Wang, et al. "RaFM: Rank-Aware Factorization Machines"☆12May 11, 2019Updated 7 years ago
- ☆41Feb 6, 2021Updated 5 years ago
- [ICLR 2022] Code for paper "Exploring Extreme Parameter Compression for Pre-trained Language Models"(https://arxiv.org/abs/2205.10036)☆22May 24, 2023Updated 3 years ago
- An offline evaluation framework for sequence-based recommender systems☆13May 17, 2019Updated 7 years ago
- An implementation of various tensor-based decomposition for NN & RNN parameters☆18Jun 4, 2018Updated 8 years ago