jimmy's repositories
AISystem
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
aresdb
A GPU-powered real-time analytics storage and query engine.
cadence
Cadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient way.
CS-Base
图解计算机网络、操作系统、计算机组成、数据库,共 1000 张图 + 50 万字,破除晦涩难懂的计算机基础知识,让天下没有难懂的八股文!🚀 在线阅读:https://xiaolincoding.com
direnv
unclutter your .profile
dragonboat
A feature complete and high performance multi-group Raft library in Go.
feast
Feature Store for Machine Learning
gcassert
Assert your Go code is inlined and bounds-check eliminated
generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
go-streams
A lightweight stream processing library for Go
gocv
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.
GPTCache
GPTCache is a library for creating semantic cache to store responses from LLM queries.
gse
Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others.
hello-algo
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing
hystrix-go
Netflix's Hystrix latency and fault tolerance library, for Go
langchaingo
LangChain for Go
libgo
Go-style concurrency in C++11
llama.go
llama.go is like llama.cpp in pure Golang!
LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
milvus
Vector database for scalable similarity search and AI applications.
natpass
🔥居家办公,远程开发神器
RL-Stock
📈 如何用深度强化学习自动炒股
sco
Coroutine scheduler for C
spago
Self-contained Machine Learning and Natural Language Processing library in Go
tile38
Real-time Geospatial and Geofencing
tinygrad
You like pytorch? You like micrograd? You love tinygrad! ❤️
tinynn
A lightweight deep learning library
TinyWebServer
:fire: Linux下C++轻量级WebServer服务器
weaviate
Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.