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addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

all-contributors

✨ Recognize all contributors, not just the ones who push code ✨

angel

A Flexible and Powerful Parameter Server for large-scale machine learning

bazel

a fast, scalable, multi-language and extensible build system

colossalai

Colossal-AI: A Unified Deep Learning System for Big Model Era

community

Stores documents used by the TensorFlow developer community

criteo-deepfm

cudf

cuDF - GPU DataFrame Library

cuvs

cuVS - a library for vector search and clustering on the GPU

dataloader

deeprec

DeepRec is a recommendation engine based on TensorFlow.

embedx

embedx 是基于 c++ 开发的、完全自研的分布式 embedding 训练和推理框架。它目前支持 图模型、深度排序、召回模型和图与排序、图与召回的联合训练模型等

euler

A distributed graph deep learning framework.

faiss

A library for efficient similarity search and clustering of dense vectors.

hierarchicalkv

HierarchicalKV is a part of NVIDIA Merlin and provides hierarchical key-value storage to meet RecSys requirements. The key capability of Merlin-KV 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.

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

howtocook

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese only).

hugectr

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

language-markdown

Add support for Markdown to Atom (including Github flavored, Markdown Extra, CriticMark, YAML/TOML front-matter, and R Markdown), and smart behavior to lists.

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.

merlin-kv

merlinkv_pytorch

models

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

multiple-line-graph-r

neural-redis

Neural networks module for Redis

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.

py-spy

Sampling profiler for Python programs

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch_custom_op

End to End steps for adding custom ops in PyTorch.

raft

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.