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Hi there 👋

I am currently studying at Beijing Jiaotong University and am a doctoral student focusing on the interpretability of deep learning.

Jiaqi Wang's Projects

ace icon ace

Towards Automatic Concept-based Explanations

ai-job-notes icon ai-job-notes

AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)

apn-zsl icon apn-zsl

This is a PyTorch implementation of the paper "Attribute Prototype Network for Zero-Shot Learning".

cli icon cli

Unlock Music Project - CLI Edition

concept_transformer icon concept_transformer

Code for the ICLR 2020 paper "Attention-based interpretability with Concept Transformers"

cs231n-2017-summary icon cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

csgcnn icon csgcnn

code for "Training Interpretable Convolutional NeuralNetworks by Differentiating Class-specific Filters"

cvpr2019 icon cvpr2019

Displays all the 2019 CVPR Accepted Papers in a way that they are easy to parse.

dff icon dff

Deep Feature Factorization

dti-clustering icon dti-clustering

(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper

effectivepython icon effectivepython

Effective Python: Second Edition — Source Code and Errata for the Book

gpt2 icon gpt2

PyTorch Implementation of OpenAI GPT-2

gvrt icon gvrt

[ECCV-2022]Grounding Visual Representations with Texts for Domain Generalization

icnn icon icnn

A pytorch implementation of interpretable convolutional neural network.

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