LSC2204

CS144-Computer-Network

Learning materials for Stanford Computer Network course : CS144

ltsm

Understanding Different Design Choices in Training Large Time Series Models

semantic-kernel

Integrate cutting-edge LLM technology quickly and easily into your apps

roformer

Rotary Transformer

LLM101n

LLM101n: Let's build a Storyteller

LLMs-Interview-Prep-Guide

Welcome to the LLMs Interview Prep Guide! This GitHub repository offers a curated set of interview questions and answers tailored for Data Scientists. Enhance your understanding of Large Language Models, prepare for technical interviews, and excel in the evolving landscape of data science with a focus on LLM applications.

LLMSys-PaperList

Large Language Model (LLM) Systems Paper List

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

Awesome-LLM-RAG-Application

the resources about the application based on LLM with RAG pattern

dive-into-llms

《动手学大模型Dive into LLMs》系列编程实践教程

DPR

Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

recommenders

Best Practices on Recommendation Systems

YabyerChessEngine

Chess Engine + GUI

MarkdownSharp

Open source C# implementation of Markdown processor, used by Stack Overflow.

stack-overcloned

H2O

[NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.

llama3

The official Meta Llama 3 GitHub site

New-Grad-Positions

A collection of full time roles in SWE, Quant, and PM for new grads.

RDMI

This is the repo for remote direct memory introspection.

KIVI

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache

cs229m_notes

ebooks

收藏的一些经典的历史、政治、心理、哲学、数学、计算机方面电子书(约10万本）

ChunkLlama

[ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"

LongBench

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

text-generation-inference

Large Language Model Text Generation Inference

chronos-forecasting

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

GP-GAN

Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

Inpaint-Anything

Inpaint anything using Segment Anything and inpainting models.

COMP646_Project

COMP 646 project at Rice in spring 2024