Pinned Repositories
.dotfiles
arrow
Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
arrow-datafusion
Apache Arrow DataFusion SQL Query Engine
arrow-rs
Official Rust implementation of Apache Arrow
aws-sdk-cpp
AWS SDK for C++
birdwatcher
Catch2
A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)
milvus
A cloud-native vector database, storage for next generation AI applications
starrocks
StarRocks, a Linux Foundation project, is a next-generation sub-second MPP OLAP database for full analytics scenarios, including multi-dimensional analytics, real-time analytics, and ad-hoc queries.
letian-jiang's Repositories
letian-jiang/milvus-sdk-go
Go SDK for Milvus.
letian-jiang/doris
Apache Doris is an MPP-based interactive SQL data warehousing for reporting and analysis.
letian-jiang/leveldb
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
letian-jiang/matrixcube
Fundamental Building Block for Elastic Storage With Strong Consistency and Reliability
letian-jiang/pymilvus
Python SDK for Milvus.
letian-jiang/birdwatcher
letian-jiang/letian-jiang.github.io
letian-jiang/rmq
Message queue system written in Go and backed by Redis
letian-jiang/go-zero
go-zero is a web and rpc framework written in Go. It's born to ensure the stability of the busy sites with resilient design. Builtin goctl greatly improves the development productivity.
letian-jiang/ddia
《Designing Data-Intensive Application》DDIA中文翻译
letian-jiang/TRTorch
PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT
letian-jiang/TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN:由腾讯优图实验室和光影实验室协同打造,移动端高性能、轻量级推理框架,同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化,同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地,欢迎大家参与协同共建,促进TNN推理框架进一步完善。