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"🐈 nanobot: The Ultra-Lightweight Personal AI Agent"
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
efinance 是一个可以快速获取基金、股票、债券、期货数据的 Python 库,回测以及量化交易的好帮手!🚀🚀🚀
Download market data from Yahoo! Finance's API
FinGLM: 致力于构建一个开放的、公益的、持久的金融大模型项目,利用开源开放来促进「AI+金融」。
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed …
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)
【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。
This project collects awesome resources (e.g., papers, open-source models) for large language model (LLM)
TED parallel Corpora is growing collection of Bilingual parallel corpora, Multilingual parallel corpora and Monolingual corpora extracted from TED talks www.ted.com for 109 world languages.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
CINO: Pre-trained Language Models for Chinese Minority (少数民族语言预训练模型)
Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning
Fine-tuning XLM-RoBERTa on Social Media Data for Multilingual Sentiment Analysis Tasks
Fine-tuned Transformers compatible BERT models for Sequence Tagging
Code and documentation to train Stanford's Alpaca models, and generate the data.
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
Source code for Hacker101.com - a free online web and mobile security class.
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers
MLNLP: Paper Picture Writing Code
MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
python | 高效使用统计语言模型kenlm:新词发现、分词、智能纠错等
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
PyTorch Tutorial for Deep Learning Researchers