YLChen25's Stars
eugenp/tutorials
Just Announced - "Learn Spring Security OAuth":
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
nowucca/greater-goods-client
Client side Vue.js application
youngyangyang04/leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
deepset-ai/haystack
:mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
jina-ai/jina
☁️ Build multimodal AI applications with cloud-native stack
MagicStack/uvloop
Ultra fast asyncio event loop.
kdchang/reactjs101
從零開始學 ReactJS(ReactJS 101)是一本希望讓初學者一看就懂的 React 中文入門教學書,由淺入深學習 ReactJS 生態系 (Flux, Redux, React Router, ImmutableJS, React Native, Relay/GraphQL etc.)。
jessevig/bertviz
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
macanv/BERT-BiLSTM-CRF-NER
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
GaoQ1/rasa_chatbot_cn
building a chinese dialogue system based on the newest version of rasa(基于最新版本rasa搭建的对话系统)
elastic/elasticsearch-py
Official Python client for Elasticsearch
leVirve/dcard-spider
A spider on Dcard. Strong and speedy.
leVirve/CrawlerTutorial
爬蟲極簡教學(fetch, parse, search, multiprocessing, API)- PTT 為例
ml-tooling/ml-workspace
🛠 All-in-one web-based IDE specialized for machine learning and data science.
MiuLab/TC-Bot
User Simulation for Task-Completion Dialogues
facebookresearch/fastText
Library for fast text representation and classification.
crownpku/Awesome-Chinese-NLP
A curated list of resources for Chinese NLP 中文自然语言处理相关资料
chengstone/kaggle_criteo_ctr_challenge-
This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。
gutouyu/ML_CIA
公众号: 机器学习荐货情报局 所有代码
NicolasHug/Surprise
A Python scikit for building and analyzing recommender systems
jfkirk/tensorrec
A TensorFlow recommendation algorithm and framework in Python.
chengstone/movie_recommender
MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。
ictar/python-doc
translate python documents to Chinese for convenient reference 简而言之,这里用来存放那些Python文档君们,并且尽力将其翻译成中文~~
NickWarm/jccart
railsFun day 2.5購物車:臨摹
MorvanZhou/PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学