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⭐Awesome
Awesome is all you need！🎃Data
Some DL dataSet for training💫Learning
Some Lessons or Tutorials✨Library
Some awesome libraries or packets💡Others
No Classification📗PaperWithCode
The Code for some classical papers🌏Resource
Resource like books, recommend papers, etc.🛠Tools
Some useful ToolsStars
微信读书工具箱，支持导出图文 Markdown 笔记，同步 Notion 等。
A generative speech model for daily dialogue.
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
A flexible, high-performance framework for large-scale retrieval problems based on TensorFlow.
A Python version of RankNet, LambdaRank and LambdaMart
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
A Library for Advanced Deep Time Series Models.
Authenticator generates 2-Step Verification codes in your browser.
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
The source code and data of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
Genetic Programming in Python, with a scikit-learn inspired API
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
A list of awesome papers and resources of recommender system on large language model (LLM).
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
An awesome & curated list of best LLMOps tools for developers
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
Awesome-LLM: a curated list of Large Language Model
Open source Python library for converting PDF to DOCX.
An index of algorithms for learning causality with data
Accelerating Qibo simulation with just-in-time compilation.