NVIDIA-Merlin / NVTabular
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
☆1,063Updated 4 months ago
Alternatives and similar repositories for NVTabular:
Users that are interested in NVTabular are comparing it to the libraries listed below
- NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocess…☆795Updated last month
- HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training☆963Updated 3 months ago
- Merlin Models is a collection of deep learning recommender system model reference implementations☆266Updated 8 months ago
- Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.☆1,141Updated 3 months ago
- ☆342Updated 3 years ago
- Pytorch domain library for recommendation systems☆2,007Updated this week
- High performance model preprocessing library on PyTorch☆651Updated 9 months ago
- High performance distributed framework for training deep learning recommendation models based on PyTorch.☆398Updated this week
- Solutions to Recommender Systems competitions☆199Updated 2 years ago
- Behavioral "black-box" testing for recommender systems☆464Updated last year
- Universal model exchange and serialization format for decision tree forests☆750Updated this week
- The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX☆413Updated 9 months ago
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,016Updated 9 months ago
- For recording and retrieving metadata associated with ML developer and data scientist workflows.☆633Updated 2 months ago
- Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature sto…☆90Updated 7 months ago
- RAPIDS Sample Notebooks☆578Updated last year
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆336Updated last week
- A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.☆1,160Updated this week
- This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as …☆193Updated 2 years ago
- Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data☆172Updated 5 months ago
- Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.☆384Updated last month
- Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet f…☆1,810Updated last year
- PyTorch elastic training☆730Updated 2 years ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆467Updated 2 years ago
- A deep ranking personalization framework☆133Updated last year
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆234Updated last year
- common in-memory tensor structure☆930Updated 3 months ago
- Train and run Pytorch models on Apache Spark.☆340Updated last year
- TensorFlow Recommenders is a library for building recommender system models using TensorFlow.☆1,888Updated this week
- RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-a…☆816Updated this week