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AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
Source code for example programs from Lord of the io_uring guide
A C++ High Performance Web Server using io_uring and cpp20 coroutine
A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
C++ logging library. It is powerful, supports asynchronous low latency, extendable, light-weight, fast performing, thread and type safe and consists of many built-in features. It provides ability t…
整理12种数据库相关资料，mysql，mariaDB，Percona Server，MongoDB，Redis，RocksDB，TiDB，CouchDB，Cassandra，TokuDB，MemDB，Oceanbase
Incomplete Redis client and server implementation using Tokio - for learning purposes only
“连续八年成为全世界最受喜爱的语言，无 GC 也无需手动内存管理、极高的性能和安全性、过程/OO/函数式编程、优秀的包管理、JS 未来基石" — 工作之余的第二语言来试试 Rust 吧。本书拥有全面且深入的讲解、生动贴切的示例、德芙般丝滑的内容，这可能是目前最用心的 Rust 中文学习教程 / Book
[NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichuan, TinyLlama, etc.
A collection of modern C++ libraries, include coro_http, coro_rpc, compile-time reflection, struct_pack, struct_json, struct_xml, struct_pb, easylog, async_simple etc.
Flops counter for convolutional networks in pytorch framework
Count the MACs / FLOPs of your PyTorch model.
🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
A list of papers about distributed consensus.
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.
Taskonomy: Disentangling Task Transfer Learning [Best Paper, CVPR2018]
Focal and Global Knowledge Distillation for Detectors (CVPR 2022)
Intra-class Feature Variation Distillation for Semantic Segmentation (ECCV 2020)