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Hi there 👋

I am familiar with python and pytorch.

I have learnt pytorch-lightning, FastAI and Keras.

I can use C/C++ in leetcode, but prefer python...

I have read "Fluent Python", "Python Cookbook 3", "Deeplearning with Python", etc...

  • 🔭 I’m pursuing my phd degree at Xidian University.
  • 🌱 I’m currently learning about Vision & Language & Generation.
  • 👯 I’m looking for partners on AI competitions.
  • 🤔 I’m looking for AI research intern position in Internet Company.
  • 💬 Feel free to ask any question you want.
  • 📫 You can concat at [email protected]

ShawnDong's Projects

albef icon albef

Code for ALBEF: a new vision-language pre-training method

clip-vil icon clip-vil

[ICLR 2022] code for "How Much Can CLIP Benefit Vision-and-Language Tasks?" https://arxiv.org/abs/2107.06383

conference_call_for_paper icon conference_call_for_paper

2021-2022 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics

cross-attention-vizwiz-vqa icon cross-attention-vizwiz-vqa

A self-evident application of the VQA task is to design systems that aid blind people with sight reliant queries. The VizWiz VQA dataset originates from images and questions compiled by members of the visually impaired community and as such, highlights some of the challenges presented by this particular use case.

cv icon cv

A beautiful, simple, clean, and responsive Jekyll theme for academics

deepmatch-torch icon deepmatch-torch

「PyTorch」A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

deepsc icon deepsc

Pytorch implementation of the DeepSC

deepsc-s icon deepsc-s

Semantic Communication Systems for Speech Transmission

dernn-lnlt icon dernn-lnlt

Code of the paper "Degradation Estimation Recurrent Neural Network with Local and Non-Local Priors for Compressive Spectral Imaging"

desci icon desci

Rank Minimization for Snapshot Compressive Imaging (TPAMI'19)

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