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[EMNLP 2024 Demo] TinyAgent: Function Calling at the Edge!
⏩ Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks
LangChain 的中文入门教程
🦜🔗 Build context-aware reasoning applications
这是一款提高ChatGPT的数据安全能力和效率的插件。并且免费共享大量创新功能，如：自动刷新、保持活跃、数据安全、取消审计、克隆对话、言无不尽、净化页面、展示大屏、拦截跟踪、日新月异、明察秋毫等。让我们的AI体验无比安全、顺畅、丝滑、高效、简洁。
MetaSuites powered by BlockSec. Help crypto users explore blockchain smoothly.
基于大模型搭建的聊天机器人，同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入，可选择GPT4.1/GPT-4o/GPT-o1/ DeepSeek/Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。
哔哩下载姬downkyi，哔哩哔哩网站视频下载工具，支持批量下载，支持8K、HDR、杜比视界，提供工具箱（音视频提取、去水印等）。
Implements Collapsible Headers for Jupyter Lab Notebooks
Notes talking about the design and implementation of Apache Spark
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
Bugs, suggestions or free discussions about the minimal markdown editor — Typora
Exercises answers to the book "machine-learning" written by Zhou Zhihua。周志华《机器学习》课后习题，个人解答。各算法都拿numpy和pandas实现了一遍
python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flo…
Pyspark RDD, DataFrame and Dataset Examples in Python language
收集所有区块链(BlockChain)技术开发相关资料，包括Fabric和Ethereum开发资料
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程
Interactive Structure and Interpretation of Computer Programs
Scala library for fitting linear and generalised linear statistical models
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A better notebook for Scala (and more)