LZYSaltedFish's Stars
c0re100/qBittorrent-Enhanced-Edition
[Unofficial] qBittorrent Enhanced, based on qBittorrent
JusticeFighterDance/JusticeFighter110
田柯宇 (Tian Keyu)恶意攻击集群事件的证据揭露
hiyouga/ChatGLM-Efficient-Tuning
Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调
Gorilla-Lab-SCUT/Visual-Auditory-Fusion-Perception
广东省“珠江人才计划”——服务机器人智能引擎平台
AlphaFin-proj/AlphaFin
ZSHsh98/MMD-MP
This is the source code for Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy (ICLR2024).
mengchaoheng/SCUT_thesis
华南理工大学硕博士学位论文模板(LaTeX)。Latex templates for the thesis of South China University of Technology
hiyouga/LLaMA-Factory
Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
seawood/books
电子书记录
modelscope/evalscope
A streamlined and customizable framework for efficient large model evaluation and performance benchmarking
BradyFU/Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
kohjingyu/gill
🐟 Code and models for the NeurIPS 2023 paper "Generating Images with Multimodal Language Models".
alibaba/Pai-Megatron-Patch
The official repo of Pai-Megatron-Patch for LLM & VLM large scale training developed by Alibaba Cloud.
DA-southampton/NLP_ability
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力
InteractiveNLP-Team/awesome-InteractiveNLP-papers
Paper List for a new paradigm of NLP: Interactive NLP (https://arxiv.org/abs/2305.13246) :fire:
thunlp/ToolLearningPapers
TingFree/NLPer-Arsenal
收录NLP竞赛策略实现、各任务baseline、相关竞赛经验贴(当前赛事、往期赛事、训练赛)、NLP会议时间、常用自媒体、GPU推荐等,持续更新中
NicholasCao/ChatBLOOM
ChatBLOOM
leerumor/nlp_tutorial
NLP超强入门指南,包括各任务sota模型汇总(文本分类、文本匹配、序列标注、文本生成、语言模型),以及代码、技巧
amusi/Deep-Learning-Interview-Book
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
PKU-Alignment/safe-rlhf
Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
datawhalechina/easy-rl
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
datawhalechina/daily-interview
Datawhale成员整理的面经,内容包括机器学习,CV,NLP,推荐,开发等,欢迎大家star
km1994/LLMsNineStoryDemonTower
【LLMs九层妖塔】分享 LLMs在自然语言处理(ChatGLM、Chinese-LLaMA-Alpaca、小羊驼 Vicuna、LLaMA、GPT4ALL等)、信息检索(langchain)、语言合成、语言识别、多模态等领域(Stable Diffusion、MiniGPT-4、VisualGLM-6B、Ziya-Visual等)等 实战与经验。
WeOpenML/PandaLM
microsoft/DeepSpeedExamples
Example models using DeepSpeed
gradio-app/gradio
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
yanqiangmiffy/NLP-Interview-Notes
:books: 专门为自然语言处理(NLP)面试准备的学习笔记与资料
songyingxin/NLPer-Interview
该仓库主要记录 NLP 算法工程师相关的面试题