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.
☆1,152May 22, 2026Updated 3 months ago
Alternatives and similar repositories for NVTabular
Users that are interested in NVTabular are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training☆1,073Aug 3, 2026Updated last month
- NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocess…☆907Jul 22, 2026Updated last month
- Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.☆1,281Aug 23, 2026Updated 3 weeks ago
- Merlin Models is a collection of deep learning recommender system model reference implementations☆304May 4, 2024Updated 2 years ago
- ☆350Jul 26, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature sto…☆92Jun 11, 2024Updated 2 years ago
- Core Utilities for NVIDIA Merlin☆19Jul 26, 2024Updated 2 years ago
- Pytorch domain library for recommendation systems☆2,605Updated this week
- The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX☆422Apr 16, 2024Updated 2 years ago
- cuDF - GPU DataFrame Library☆9,754Updated this week
- Solutions to Recommender Systems competitions☆199Updated this week
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,545Updated this week
- High performance model preprocessing library on PyTorch☆641Mar 29, 2024Updated 2 years ago
- NVIDIA cuML: GPU-Accelerated Machine Learning☆5,282Updated this week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆64Jun 3, 2025Updated last year
- An implementation of a deep learning recommendation model (DLRM)☆4,069Jan 12, 2026Updated 8 months ago
- ☆26Aug 15, 2022Updated 4 years ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆239Apr 7, 2023Updated 3 years ago
- PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf☆2,955Oct 23, 2024Updated last year
- MLOps pipeline for NVIDIA Merlin on GKE☆41Aug 7, 2026Updated last month
- The Open Source Feature Store for AI/ML☆7,276Updated this week
- Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains☆1,723Oct 8, 2023Updated 2 years ago
- PyTorch extensions for high performance and large scale training.☆3,406Apr 26, 2025Updated last year
- 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.
- A unified framework for Deep Learning Models on tabular data☆1,683Updated this week
- The Triton Inference Server provides an optimized cloud and edge inferencing solution.☆10,995Updated this week
- Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet f…☆1,892Jan 2, 2026Updated 8 months ago
- Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per s…☆8,508Apr 1, 2026Updated 5 months ago
- Fast Python Collaborative Filtering for Implicit Feedback Datasets☆3,822May 8, 2026Updated 4 months ago
- A general purpose recommender metrics library for fair evaluation.☆277Aug 22, 2023Updated 3 years ago
- A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep lear…☆5,758Updated this week
- A JupyterLab extension for displaying dashboards of GPU usage.☆679Sep 9, 2026Updated last week
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆141Nov 1, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- TensorFlow Recommenders is a library for building recommender system models using TensorFlow.☆2,031Jul 8, 2026Updated 2 months ago
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,682Updated this week
- Deep recommender models using PyTorch.☆3,043Dec 21, 2022Updated 3 years ago
- cuGraph - RAPIDS Graph Analytics Library☆2,233Updated this week
- Best Practices on Recommendation Systems☆21,899Updated this week
- ☆665Updated this week
- Python-based framework for building and evaluating session-based and session-aware recommender systems.☆390Nov 5, 2021Updated 4 years ago