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Pengcheng Xin's Projects

6.824 icon 6.824

MIT 6.824 distributed system C++Version

cgraph icon cgraph

【A simple C++ DAG framework】 一个简单好用的、无任何三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork

introduce_c-cpp_manual icon introduce_c-cpp_manual

一个收集C/C++新手学习的入门项目,整理收纳开发者开源的小项目、工具、框架、游戏等,视频,书籍,面试题/算法题,技术文章。

llama2-7b-on-laptop icon llama2-7b-on-laptop

Lab 5 project of MIT-6.5940, deploying LLaMA2-7B-chat on one's laptop with TinyChatEngine.

llm-awq icon llm-awq

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

llm-course icon llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

llm.c icon llm.c

LLM training in simple, raw C/CUDA

maxkb icon maxkb

🚀 基于 LLM 大语言模型的知识库问答系统。开箱即用,支持快速嵌入到第三方业务系统,1Panel 官方出品。

mingpt icon mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

mit-6.5940 icon mit-6.5940

All Homeworks for TinyML and Efficient Deep Learning Computing 6.5940 • Fall • 2023 • https://efficientml.ai

nanogpt icon nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nemu icon nemu

NJU EMUlator, a full system x86/mips32/riscv32/riscv64 emulator for teaching

openmlsys-zh icon openmlsys-zh

《Machine Learning Systems: Design and Implementation》- Chinese Version

system-design-101 icon system-design-101

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

tiny-gpu icon tiny-gpu

A minimal GPU design in Verilog to learn how GPUs work from the ground up

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