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We continue to see exciting breakthroughs in AI. The CHATGPT in text, the PIKA in video, and the Gemini in multimodal. I'm sure every AI practitioner can feel the waves of our time building up. And I want to do my part in this era. There is a hidden voice in my heart telling me that I can also realize AGI in some small field. Now I have found my goal: AGI in quantitative finance.

My goal is to build an AGI that can replace a Quant Alpha team of about 20 people, and I'm working towards that goal. Inputting historical stages of data, our AGI can output factors, factor combination strategies, trading strategies, and fulfill the functions brought by the whole Quant Alpha team.

If you are also interested, please feel free to contact me. (Or if your team is doing the same thing, I'd love to join you!)


  • 👋 Hi, I’m TianhaoFu(付天豪)@PKU.
  • 👀 I’m interested in data-centric AI and Quantitative Finance.
  • 🌱 I’m currently learning data-centric AI. Check my 2022's data-centric AI work: Tiny3D: a data-centric AI based 3D object detection service production system. Also, I'm doing research on High-frequency Strategy, Mid-frequency Strategy, and Alternative Low-frequency Strategy in US stock, China stock, and Crypto.
  • 💞️ I’m looking to collaborate on data-centric AI(data privacy, data programming, data simulation, data compression, data duration, data centric ai system) and Quantitative Finance(job or other opportunities).
  • 📫 How to reach me [email protected].

Tianhao Fu's Projects

nlp_ability icon nlp_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力

nlu icon nlu

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

nnaudio icon nnaudio

Audio processing by using pytorch 1D convolution network

nni icon nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

non-convex icon non-convex

Self-contained implementation of non-convex optimization algorithms in python. Steepest Descent, Conjugate Gradient, Newton's Method, Quasi-newton (BFGS), l-BFGS

non-local-nn-pytorch icon non-local-nn-pytorch

Pyorch implementation of Non-Local Neural Networks (https://arxiv.org/pdf/1711.07971.pdf)

odette icon odette

Open Domain EvenT Trigger Extractor (ODETTE) using ADA (Adversarial Domain Adaptation)

olmo icon olmo

Modeling, training, eval, and inference code for OLMo

omnimatterf icon omnimatterf

A matting method that combines dynamic 2D foreground layers and a 3D background model.

online-lda icon online-lda

On-Line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking.

onlineldavb icon onlineldavb

Online variational Bayes for latent Dirichlet allocation (LDA)

open3dsot icon open3dsot

Open source library for Single Object Tracking in point clouds.

openpcdet icon openpcdet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

orb_slam3 icon orb_slam3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

p2il icon p2il

Implementation for Proximal Point Imitation Learning

pa-aug.pytorch icon pa-aug.pytorch

Part-Aware Data Augmentation for 3D Object Detection in Point Cloud (https://arxiv.org/abs/2007.13373)

pai icon pai

Resource scheduling and cluster management for AI

paie icon paie

ACL'2022: Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction

pal icon pal

Policy based Active Learning with DQN (EMNLP-2017)

panoptic-deeplab icon panoptic-deeplab

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

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