Learn to work more efficiently on empirical research projects.

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.

Edge computing models for IoT Analytics

TAX-Pose: Methods for Relative Placement

Autonomous Agents (LLMs) research papers. Updated Daily.

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

Personal webpage

🔐 🕵🏻 End-to-End encryption and Theoretically-Provable anonymity in a library wrapper. Confirmed by theoretical and research papers. The Hidden Lake anonymous network is located inside the project: https://github.com/number571/go-peer/tree/master/cmd/hidden_lake

A list papers of learning how to building database system

Decoding Industry Dynamics: Exploring the Nexus of Company Fundamentals, Economic Indicators, and Equity Valuations via Predictive Analytics

Implementation of "COOL: A framework for conversational OLAP". Information Systems 104: 101752 (2022). DOI: https://doi.org/10.1016/j.is.2021.101752

Links to books, webpages, essays, apps, and other stuff from the internet.

Redraw animation details using AI while retaining artistic control.

Adaptive toolbox and efficient measurement software for any device

AI research lab🔬: implementations of AI papers and theoretical research: InstructGPT, llama, transformers, diffusion models, RLHF, etc...

Visualizes the (git) history of a LaTeX project as a timelapse video.

My favorite list of research papers

Annotations of the interesting ML papers I read

Slides about my research at the Oxford Internet Institute.

Data and code associated with paper "On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions" currently in review.