Pinned Repositories
addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
angel
A Flexible and Powerful Parameter Server for large-scale machine learning
BaiduPCS-Go
百度网盘客户端 - Go语言编写
beam
Apache Beam
byteps
A high performance and generic framework for distributed DNN training
cim
Implementaion of the WWW paper Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads
code
Source Code for Go In Action examples
cortex
Production infrastructure for machine learning at scale
croc
Easily and securely send things from one computer to another :crocodile: :package:
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
xhylol's Repositories
xhylol/angel
A Flexible and Powerful Parameter Server for large-scale machine learning
xhylol/byteps
A high performance and generic framework for distributed DNN training
xhylol/cortex
Production infrastructure for machine learning at scale
xhylol/DeepMatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
xhylol/dolly
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
xhylol/euler
A distributed graph deep learning framework.
xhylol/havenask
xhylol/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
xhylol/k8s-device-plugin
NVIDIA device plugin for Kubernetes
xhylol/kafka
Mirror of Apache Kafka
xhylol/linkis
Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications and the underlying data engines.
xhylol/LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
xhylol/Megatron-LM
Ongoing research training transformer models at scale
xhylol/mesh
Mesh TensorFlow: Model Parallelism Made Easier
xhylol/milvus
Vector database for scalable similarity search and AI applications.
xhylol/mysql-server
MySQL Server, the world's most popular open source database, and MySQL Cluster, a real-time, open source transactional database.
xhylol/nann
A flexible, high-performance framework for large-scale retrieval problems based on TensorFlow.
xhylol/onnx
Open standard for machine learning interoperability
xhylol/PaddleRec
Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFIS等，
xhylol/PERSIA
High performance distributed framework for training deep learning recommendation models based on PyTorch.
xhylol/pika
Pika is a nosql compatible with redis, it is developed by Qihoo's DBA and infrastructure team
xhylol/ps-lite
A lightweight parameter server interface
xhylol/rasa
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
xhylol/recommenders-addons
Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.
xhylol/redis
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
xhylol/resilience4j
Resilience4j is a fault tolerance library designed for Java8 and functional programming
xhylol/rocksdb
A library that provides an embeddable, persistent key-value store for fast storage.
xhylol/the-algorithm
Source code for Twitter's Recommendation Algorithm
xhylol/the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
xhylol/tidb
TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try free: https://tidbcloud.com/free-trial