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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

trades icon trades

Track to Detect and Segment: An Online Multi-Object Tracker (CVPR 2021)

transformers icon transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

turbotransformers icon turbotransformers

a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.

tvm icon tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

uer-py icon uer-py

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

vae icon vae

a simple vae and cvae from keras

vedaseg icon vedaseg

A semantic segmentation toolbox based on PyTorch

vertex-edge icon vertex-edge

A tool for training models to Vertex on Google Cloud Platform.

video-to-retail-platform icon video-to-retail-platform

An intelligent multimodal-learning based system for video, product and ads analysis. Based on the system, people can build a lot of downstream applications such as product recommendation, video retrieval, etc.

videocompressor icon videocompressor

A High-performance video compressor for Android using Hardware decoding and encoding API(MediaCodec).

videopose3d icon videopose3d

Efficient 3D human pose estimation in video using 2D keypoint trajectories

vision_kit icon vision_kit

A computer vision kit for algorithm verification

vista icon vista

This repo presents you the official code of "VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention"

vit-pytorch icon vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

vitis-ai icon vitis-ai

Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.

votr icon votr

Voxel Transformer for 3D object detection

vps icon vps

Official pytorch implementation for "Video Panoptic Segmentation" (CVPR 2020 Oral)

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