liulehui's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
jaredpalmer/formik
Build forms in React, without the tears 😭
naklecha/llama3-from-scratch
llama3 implementation one matrix multiplication at a time
karpathy/nn-zero-to-hero
Neural Networks: Zero to Hero
huggingface/text-generation-inference
Large Language Model Text Generation Inference
karpathy/minbpe
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
uber/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.
maemual/raft-zh_cn
Raft一致性算法论文的中文翻译
Netflix/dispatch
All of the ad-hoc things you're doing to manage incidents today, done for you, and much more!
missing-semester/missing-semester
The Missing Semester of Your CS Education 📚
chaozh/MIT-6.824
Basic Sources for MIT 6.824 Distributed Systems Class
google-research/t5x
horseee/Awesome-Efficient-LLM
A curated list for Efficient Large Language Models
ahertel/Amazon-Fresh-Whole-Foods-delivery-slot-finder
A Mac tool that finds available delivery slots for Amazon's Whole Foods delivery and Amazon Fresh services
bytedance/fedlearner
A multi-party collaborative machine learning framework
bestswifter/macbootstrap
A bootstrap script for new Mac
jupyter-server/kernel_gateway
Jupyter Kernel Gateway
yzongyue/6.824-golabs-2020
MIT 6.824 2020
arcee-ai/DistillKit
An Open Source Toolkit For LLM Distillation
Apollonyan/CS193p-Developing-Apps-for-iOS-Spring-2020
Stanford 公开课 CS193p - Developing Apps for iOS 2020 春季学期字幕翻译
1fge/open-supreme
An Open Source Requests-Based Supreme Bot
alibaba/EasyReinforcementLearning
EasyRL: An easy-to-use and comprehensive reinforcement learning package.
wqlin/mit-6.824-2018
Solutions to mit 6.824 2018
google/saxml
double-free/MIT6.824-2018-Chinese
A Chinese version of MIT 6.824 (distributed system)
jupyter/nb2kg
sswuai/PanoGAN
aitsc/GLMKD
Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method ; GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model
vmware-archive/json-template-engine
This project provides implementations for the JSON template specification.