NVIDIA-Merlin / NVTabularLinks
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.
☆1,135Updated last month
Alternatives and similar repositories for NVTabular
Users that are interested in NVTabular are comparing it to the libraries listed below
Sorting:
- NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocess…☆865Updated last year
- Merlin Models is a collection of deep learning recommender system model reference implementations☆293Updated last year
- ☆349Updated 4 years ago
- HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training☆1,039Updated 3 months ago
- High performance model preprocessing library on PyTorch☆647Updated last year
- Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.☆1,234Updated 2 weeks ago
- Pytorch domain library for recommendation systems☆2,433Updated this week
- The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX☆422Updated last year
- A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.☆691Updated 2 weeks ago
- Universal model exchange and serialization format for decision tree forests☆799Updated last week
- For recording and retrieving metadata associated with ML developer and data scientist workflows.☆667Updated 8 months ago
- Solutions to Recommender Systems competitions☆200Updated 3 years ago
- Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO☆735Updated 3 weeks ago
- High performance distributed framework for training deep learning recommendation models based on PyTorch.☆411Updated 6 months ago
- Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature sto…☆94Updated last year
- RAPIDS Sample Notebooks☆580Updated 2 years ago
- Behavioral "black-box" testing for recommender systems☆468Updated 2 years ago
- Train and run Pytorch models on Apache Spark.☆341Updated 2 years ago
- Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet f…☆1,869Updated this week
- Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.☆452Updated 3 weeks ago
- TensorFlow Recommenders is a library for building recommender system models using TensorFlow.☆1,992Updated 3 weeks ago
- Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data☆175Updated last year
- Library for exploring and validating machine learning data☆779Updated 5 months ago
- Convert scikit-learn models and pipelines to ONNX☆608Updated last month
- A JupyterLab extension for displaying dashboards of GPU usage.☆667Updated last month
- FIL backend for the Triton Inference Server☆85Updated last week
- A profiling and performance analysis tool for machine learning☆452Updated this week
- 🛍 A real-world e-commerce dataset for session-based recommender systems research.☆362Updated 7 months ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆470Updated 3 years ago
- A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.☆1,244Updated this week