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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 Equity, China Equity, 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

py_img_seg_eval icon py_img_seg_eval

Evaluation metrics for image segmentation inspired by paper Fully Convolutional Networks for Semantic Segmentation

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-memonger icon pytorch-memonger

Sublinear memory optimization for deep learning. https://arxiv.org/abs/1604.06174

pytorch-parallel icon pytorch-parallel

Optimize an example model with Python, CPP, and CUDA extensions and Ring-Allreduce.

pytorch-unet icon pytorch-unet

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing

pytorchvideo icon pytorchvideo

A deep learning library for video understanding research.

qdrant icon qdrant

Qdrant - Vector Search Engine for the next generation of AI applications

qlib icon qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

quantized_resnet icon quantized_resnet

This repo is an implementation of quantized CNN for both weights (1-bit compression) and feature maps (2-bit compression).

quantizedlstm icon quantizedlstm

Models and training scripts for "LSTMs for Keyword Spotting with ReRAM-based Compute-In-Memory Architectures" (ISCAS 2021).

racos icon racos

A theoretically-grounded derivative-free optimization method, born from a statistical view of evolutionary algorithms

rangedet icon rangedet

Paper and Codes for “RangeDet: In Defense of Range View for LiDAR-based 3D Object Detection” (ICCV2021)

rapq icon rapq

Pytorch implementation of RAPQ, IJCAI 2022

ray icon ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

rdn4depth icon rdn4depth

Region Deformer Networks for Unsupervised Depth Estimation from Unconstrained Monocular Videos, IJCAI 2019

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