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aescrypttools

autodist

Simple Distributed Deep Learning on TensorFlow

colossalai

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

cub

Cooperative primitives for CUDA C++ kernel authors.

cuda_programming

Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch

db-readings

Readings in Databases

deeplearningexamples

Deep Learning Examples

deeprec

DeepRec is a recommendation engine based on TensorFlow.

distributed-tf-serving

dls-mxserving-client

docs-1

TensorFlow documentation

faiss

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

fpinscala

Code, exercises, answers, and hints to go along with the book "Functional Programming in Scala"

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.

hugectr

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

java-design-patterns

Design patterns implemented in Java

monolith

ByteDance's Recommendation System

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

paddle

PArallel Distributed Deep LEarning （PaddlePaddle核心框架，高性能单机、分布式训练和跨平台部署）

ps-lite

A lightweight parameter server interface

recommenders-addons

Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.

resume

An elegant \LaTeX\ résumé template

samples

sample code for sharing

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

the-art-of-command-line

Master the command line, in one page

twitter-the-algorithm

Source code for Twitter's Recommendation Algorithm

xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.