adfh917k's Stars
Infini-AI-Lab/MagicPIG
MagicPIG: LSH Sampling for Efficient LLM Generation
HarryWu99/llm_kvcache_sparsity
Implement some method of LLM KV Cache Sparsity
whyNLP/LCKV
Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance. Accepted to ACL 2024.
Infini-AI-Lab/TriForce
[COLM 2024] TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding
naklecha/llama3-from-scratch
llama3 implementation one matrix multiplication at a time
mit-han-lab/Quest
[ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference
FasterDecoding/SnapKV
mit-han-lab/streaming-llm
[ICLR 2024] Efficient Streaming Language Models with Attention Sinks
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
liguodongiot/llm-action
本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)
mli/paper-reading
深度学习经典、新论文逐段精读
taylorconor/tinytetris
80x23 terminal tetris!
gusye1234/nano-graphrag
A simple, easy-to-hack GraphRAG implementation
xinsblog/try-llama-index
后chatgpt时代的对话式文档问答解决方案
run-llama/llama_index
LlamaIndex is a data framework for your LLM applications
microsoft/graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
apachecn/rate-my-supervisor
lansinuote/Machine-Learning-In-Numpy
纯python实现机器学习算法,非套用sk-learn
zhengjingwei/machine-learning-interview
算法工程师-机器学习面试题总结
jackxy/new-ssm
小滴课堂在线教育综合项目实战,后端 SpringBoot2.x+Mybaits+JWT+Guava; 前端 Vue+CubeUI+Axios+Vuex, 前后端分离
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
kavinwow100/Deeplearning-and-Coding
学习深度学习不如边写代码边学习,实际操作一遍才能理解数据的变换过程,参数的训练过程,这里整合了B站的jupter代码,可以结合着B站的视频边看边练,希望能对大家有帮助。
tsinghua-fib-lab/GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
ollama/ollama
Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.
trekhleb/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
ddy-ddy/cs-408
计算机考研专业课程408相关的复习经验,资源和OneNote笔记
lovasoa/whitebophir
Online collaborative Whiteboard that is simple, free, easy to use and to deploy
jsjby/jsjby_2023
发布23年计算机保研夏令营和预推免通知,往年的保研经验帖;需要带保研或计算机保研资料联系qq:1585601434
Jack-Cherish/Machine-Learning
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归