• Stars
    star
    196
  • Rank 198,553 (Top 4 %)
  • Language
    Jupyter Notebook
  • Created over 3 years ago
  • Updated about 2 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Solutions to Recommender Systems competitions

This repository is created to host the Recommender Systems competitions solutions.

More Repositories

1

Transformers4Rec

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
Python
1,076
star
2

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.
Python
1,030
star
3

HugeCTR

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
C++
947
star
4

Merlin

NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.
Python
735
star
5

dataloader

The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
Python
401
star
6

models

Merlin Models is a collection of deep learning recommender system model reference implementations
Python
253
star
7

HierarchicalKV

HierarchicalKV is a part of NVIDIA Merlin and provides hierarchical key-value storage to meet RecSys requirements. The key capability of HierarchicalKV is to store key-value feature-embeddings on high-bandwidth memory (HBM) of GPUs and in host memory. It also can be used as a generic key-value storage.
Cuda
125
star
8

systems

Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature stores, nearest neighbor search, and exploration strategies) into end-to-end recommendation pipelines that can be served with Triton Inference Server.
Python
88
star
9

publications

Jupyter Notebook
61
star
10

distributed-embeddings

distributed-embeddings is a library for building large embedding based models in Tensorflow 2.
Python
42
star
11

gcp-ml-ops

MLOps pipeline for NVIDIA Merlin on GKE
Python
41
star
12

core

Core Utilities for NVIDIA Merlin
Python
19
star
13

nvtabular_triton_backend

Triton Backend for NVTabular
C++
2
star