# DeepRec-AI/DeepRec

DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.

Repository: https://github.com/DeepRec-AI/DeepRec
Canonical: https://ross.abutalabs.com/products/deeprec
Language: C++
License: Apache-2.0
License Family: permissive
Topics: deep-learning, machine-learning, python, scalability, distributed-training, recommendation-engine, search-engine, advertising
Last push: 2025-01-21T09:54:28+00:00

## Health v2 (maintenance only)
Score: 24/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 2, release rhythm 8, longevity 100
- inputs: {"age_days": 1713, "days_push": 589, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1197, forks 359 (observed 2026-08-28T04:03:57.428450+00:00)

## What it is
DeepRec is a high-performance deep learning framework for recommendation models, built on TensorFlow 1.15 with Intel and NVIDIA TensorFlow enhancements. It supports super-large-scale distributed training and serving of sparse embedding-based models, incubated under the LF AI & Data Foundation.

## Use cases
- train recommendation models with trillion-scale sparse parameters
- run distributed parameter-server training for CTR prediction models
- serve large embedding-based models with low latency
- optimize recommendation training on CPU and GPU clusters
- handle huge sparse id features for search and advertising models
- deploy online learning pipelines for ads ranking

## When to avoid
- you need modern TensorFlow 2.x or PyTorch ecosystems
- your models are small or dense (CV, NLP) without huge embedding tables
- you want a lightweight framework with a small dependency footprint

## Facets
- artifact type: framework
- maturity: active
- function: deep-learning, machine-learning, llm-training
- domain: machine-learning, deep-learning, microservices
- platform: python, cpp
- tags: recommendation-systems, tensorflow, distributed-training, embedding, parameter-server, model-serving, sparse-embedding, recommendation-engine, advertising, search, linux, gpu, docker

## Member repositories
- DeepRec-AI/DeepRec (main) score 24

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:57.428450+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:21:16.877617+00:00, confidence not recorded.
  - readme: https://github.com/DeepRec-AI/DeepRec (fetched 2026-08-28T04:03:57.428450+00:00, sha 0558676ec069)
- Data as of 2026-08-30T08:39:29.467469+00:00.