xiaocai2333

xiaocai2333's Stars

• zilliztech/GPTCache

  Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

  Language:Python7.2k503

• wxywb/history_rag

  Language:Python847112

• nlpodyssey/gopickle

  Go library for loading Python's data serialized with pickle and PyTorch module files.

  Language:Go13418

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

  Language:HTML112k15.2k

• facebookincubator/velox

  A C++ vectorized database acceleration library aimed to optimizing query engines and data processing systems.

  Language:C++3.5k1.1k

• milvus-io/milvus

  A cloud-native vector database, storage for next generation AI applications

  Language:Go29.9k2.9k

• milvus-io/birdwatcher

  Language:Go4432

• vesoft-inc/nebula

  A distributed, fast open-source graph database featuring horizontal scalability and high availability

  Language:C++10.7k1.2k

• SuperMonster003/Ant-Forest

  AutoJs6-based ant forest energy auto-collect script (基于 AutoJs6 的蚂蚁森林能量自动收取脚本)

  Language:JavaScript2.8k555

• xiaocai2333/milvus-preformance-benchmark

  Language:Python31

• CGCL-codes/ShareRender

  ShareRender is a cloud gaming system that enables fine-grained resource sharing at the frame-level. Existing cloud gaming systems suffer from low GPU utilization in the virtualized environment. Moreover, GPU resources are scheduled in units of virtual machines (VMs) and this kind of coarse-grained scheduling at the VM-level fails to fully exploit GPU processing capacity. ShareRender offloads graphics workloads within VMs directly to GPUs, bypassing GPU virtualization. For each game running in a VM, ShareRender starts a graphics wrapper to intercept frame rendering requests and assign them to render agents responsible for frame rendering on GPUs. Thanks to the flexible workload assignment among multiple render agents, ShareRender enables fine-grained resource sharing at the frame-level to significantly improve GPU utilization. If you want to know more about ShareRender, please refer to our paper in Multimedia 2017. Wei Zhang, Xiaofei Liao, Peng Li, Hai Jin, Li Lin, "ShareRender: Bypassing GPU Virtualization to Enable Fine-grained Resource Sharing for Cloud Gaming". In Proceedings of ACM International Conference on Multimedia (MM'17), Mountain View, CA, 2017.

  Language:C++72

• milvus-io/milvus-operator

  milvus-operator

  Language:Go6131

• golang-design/go-questions

  📖 Go 程序员面试笔试宝典 | 从问题切入，串连 Go 语言相关的所有知识，融会贯通。 https://golang.design/go-questions

  Language:Go5.9k653

• kubernetes/kubernetes

  Production-Grade Container Scheduling and Management

  Language:Go110k39.5k

• v2ray/v2ray-core

  A platform for building proxies to bypass network restrictions.

  Language:Go45.4k8.9k

• milvus-io/milvus-helm

  The helm chart to deploy Milvus

  Language:Mustache7977

• golang/go

  The Go programming language

  Language:Go124k17.6k

• milvus-io/pymilvus-orm

  Language:Python2027

• quasilyte/go-ruleguard

  Define and run pattern-based custom linting rules.

  Language:Go79142

• apache/pulsar

  Apache Pulsar - distributed pub-sub messaging system

  Language:Java14.2k3.6k

• xiaocai2333/arctern-docs

  Language:Python1

• xiaocai2333/arctern

  1

• xiaocai2333/arrow_cython

  通过Cython完成pyarrow和C++中arrow对象的互转

  Language:C++1

• xiaocai2333/COVID-19-demo

  Language:Python2

• arctern-io/arctern

  Language:C++10349

• apache/spark

  Apache Spark - A unified analytics engine for large-scale data processing

  Language:Scala39.5k28.2k

• czs007/czs_arctern

  Language:C++3

• pjialin/py12306

  🚂 12306 购票助手，支持集群，多账号，多任务购票以及 Web 页面管理

  Language:Python14.4k3.6k

• heterodb/pg-strom

  PG-Strom - Master development repository

  Language:C1.3k161

• HongYiMU/TheAlgorithm

  619456