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杨夕's Projects

3y icon 3y

:notebook:从Java基础、JavaWeb基础到常用的框架再到面试题都有完整的教程,几乎涵盖了Java后端必备的知识点

autophrase icon autophrase

AutoPhrase: Automated Phrase Mining from Massive Text Corpora

awesome-ai-painting icon awesome-ai-painting

AI绘画资料合集(包含国内外可使用平台、使用教程、参数教程、部署教程、业界新闻等等) stable diffusion tutorial、disco diffusion tutorial、 AI Platform

awesome-llm-rag icon awesome-llm-rag

Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

awesomenlp icon awesomenlp

此项目完成了关于 NLP-Beginner:自然语言处理入门练习 的所有任务(文本分类、信息抽取、知识图谱、机器翻译、问答系统、文本生成、Text-to-SQL、文本纠错、文本挖掘、知识蒸馏、模型加速、OCR、TTS、Prompt、embedding等),所有代码都经过测试,可以正常运行。

chatglm-finetuning icon chatglm-finetuning

基于ChatGLM-6B模型,进行下游具体任务微调,涉及Freeze、Lora、P-tuning等

chinesenlpcorpus icon chinesenlpcorpus

中文自然语言处理数据集,平时做做实验的材料。欢迎补充提交合并。

clue icon clue

中文语言理解基准测评 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

cskaoyan icon cskaoyan

提供计算机考研和软件工程考研专业的各个学校 考研真题

deepie icon deepie

DeepIE: Deep Learning for Information Extraction

deeplearning-500-questions icon 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[email protected] 版权所有,违权必究 Tan 2018.06

deepner icon deepner

天池中药说明书实体识别挑战冠军方案;中文命名实体识别;NER; BERT-CRF & BERT-SPAN & BERT-MRC;Pytorch

fastchat icon fastchat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

hello-algo icon hello-algo

《Hello 算法》:动画图解、一键运行的数据结构与算法教程,支持 Python, C++, Java, C#, Go, Swift, JS, TS, Dart, Rust, C, Zig 等语言。English edition ongoing

interview_internal_reference icon interview_internal_reference

2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。

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