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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

mlplatform-workshop icon mlplatform-workshop

🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more

mmdetection3d icon mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

mmdnn icon mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

mmf icon mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

mnn icon mnn

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

model-patching icon model-patching

Model Patching: Closing the Subgroup Performance Gap with Data Augmentation

models icon models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

mojo-cnn icon mojo-cnn

mojo cnn: c++ convolutional neural network

monitoring-ml icon monitoring-ml

Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.

monodepth2 icon monodepth2

[ICCV 2019] Monocular depth estimation from a single image

mots_tools icon mots_tools

Tools for evaluating and visualizing results for the Multi Object Tracking and Segmentation (MOTS) task

mpnet icon mpnet

MPNet: Masked and Permuted Pre-training for Language Understanding https://arxiv.org/pdf/2004.09297.pdf

mtan icon mtan

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

mtlface icon mtlface

When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework (CVPR 2021 oral)

multibench icon multibench

Multiscale Benchmarks for Multimodal Representation Learning

multiobjectiveoptimization icon multiobjectiveoptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

mvision icon mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

myhttp icon myhttp

Simplest HTTP GET requester for Go with timeout support

nanodet icon nanodet

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

ncnn icon ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

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