edknv

core

Core Utilities for NVIDIA Merlin

dataloader

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

distributed-embeddings

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

HugeCTR

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

keras

Deep Learning for humans

lit-llama

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

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.

models

Merlin Models is a collection of deep learning recommender system model reference implementations

Morpheus

Morpheus SDK

edknv/core

Core Utilities for NVIDIA Merlin

edknv/dataloader

edknv/DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

edknv/distributed-embeddings

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

edknv/HugeCTR

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

edknv/keras

Deep Learning for humans

edknv/lit-llama

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

edknv/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.

edknv/models

Merlin Models is a collection of deep learning recommender system model reference implementations

edknv/Morpheus

Morpheus SDK

edknv/NeMo

NeMo: a toolkit for conversational AI

edknv/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.

edknv/sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

edknv/recipes

Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research techniques without significant engineering overhead.Specifically, recipes aims to provide- Consistent access to pre-trained SOTA models ready for production- Reference implementations for SOTA research reproducib

edknv/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.

edknv/Transformers4Rec

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.