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搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）
Tiny and powerful JavaScript full-text search engine for browser and Node
A high-throughput and memory-efficient inference and serving engine for LLMs
Openai style api for open large language models, using LLMs just as chatgpt! Support for LLaMA, LLaMA-2, BLOOM, Falcon, Baichuan, Qwen, Xverse, SqlCoder, CodeLLaMA, ChatGLM, ChatGLM2, ChatGLM3 etc.…
Repo for BenTsao [original name: HuaTuo (华驼)], Instruction-tuning Large Language Models with Chinese Medical Knowledge. 本草（原名：华驼）模型仓库，基于中文医学知识的大语言模型指令微调
Instruction Tuning with GPT-4
⏳ ChatLog: Recording and Analysing ChatGPT Across Time
The FORM project for symbolic manipulation of very big expressions
Facilitating the design, comparison and sharing of deep text matching models.
A curated list of awesome papers for Semantic Retrieval (TOIS Accepted: Semantic Models for the First-stage Retrieval: A Comprehensive Review).
Sync notes between local and cloud with smart conflict: S3 (Amazon S3/Cloudflare R2/Backblaze B2/...), Dropbox, webdav (NextCloud/InfiniCLOUD/Synology/...), OneDrive, Google Drive (GDrive), Box, pC…
HIT-SCIR / ELMoForManyLangs
Forked from bozheng-hit/ELMoPre-trained ELMo Representations for Many Languages
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）
A relation-aware semantic parsing model from English to SQL
NiuTensor is an open-source toolkit developed by a joint team from NLP Lab. at Northeastern University and the NiuTrans Team. It provides tensor utilities to create and train neural networks.
novel deep learning research works with PaddlePaddle
文言文編程語言 A programming language for the ancient Chinese.
scripts and baselines for Spider: Yale complex and cross-domain semantic parsing and text-to-SQL challenge
Syntax checking hacks for vim
scripts and baselines for CSpider: Chinese semantic parsing and text-to-SQL challenge
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[email protected] 版权所有，违权必究 Tan 2018.06