Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

Deep Learning for Time Series Classification

A simple self-driving car module for humans 🚘 🛣️

A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (RAG, Agents).

Transfer learning for time series classification

Input Convex Neural Networks

An AI-powered arXiv paper summarization website with a virtual assistant for answering questions.

This repository is the collection of research papers in Deep learning, computer vision and NLP.

We release `LOBFrame', a novel, open-source code base which presents a renewed way to process large-scale Limit Order Book (LOB) data.

A Stochastic Shortest Path Algorithm for Optimizing Spaced Repetition Scheduling

Agentic AI team to simplify research article reading

Create "Table 1" for research papers in Python

Reference management solution using Python and Notion.

Lumi uses AI-powered features to help you read arXiv papers.

论文阅读工具，一键截图+AI翻译，支持数学公式，贴片多窗口管理

An open-source LLM based research assistant that allows you to have a conversation with a research paper

DilatedToothSegNet: Tooth Segmentation Network on 3D Dental Meshes Through Increasing Receptive Vision