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.

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

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

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

Deep Learning for Time Series Classification

A simple self-driving car module for humans 🚘 🛣️

Transfer learning for time series classification

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

Input Convex Neural Networks

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

ComPromptMized: Unleashing Zero-click Worms that Target GenAI-Powered Applications

Create "Table 1" for research papers in Python

Reference management solution using Python and Notion.

A Stochastic Shortest Path Algorithm for Optimizing Spaced Repetition Scheduling

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

doing audio digital signal processing in tensorflow to try to recreate digital audio effects

Meta graph convolutional neural network-assisted resilient swarm communications

Privacy -preserving Neural Networks

[IEEE Research paper + Project] Real Time Road Accidents Detection System based on crash estimation; a computer vision techniques that detects road accidents and reports them in real-time as well as allowing the monitoring of accidents using a client server architecture and an interactive GUI.

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