EMNLP-2021-Findings

? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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 to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

深度学习经典、新论文逐段精读

Label Studio is a multi-type data labeling and annotation tool with standardized output format

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.

CVPR 2025 论文和开源项目合集

[CVPR2023] Blur Interpolation Transformer for Real-World Motion from Blur

Etherpad: A modern really-real-time collaborative document editor.

《李宏毅深度学习教程》（李宏毅老师推荐?，苹果书?），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

pix2tex: Using a ViT to convert images of equations into LaTeX code.