koalazf99

row-column-intersection

This project makes available the code and data from our NAACL paper: "Capturing Row and Column Semantics in Transformer Based Question Answering over Tables"

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

MADE

EMNLP 2021: Single-dataset Experts for Multi-dataset Question-Answering

pytorch_neural_symbolic_machines

A PyTorch Implementation of Neural Symbolic Machines by Liang et al. (2018)

tapas

End-to-end neural table-text understanding models.

Table-Pretraining

ICLR 2022 Paper, SOTA Table Pre-training Model, TAPEX: Table Pre-training via Learning a Neural SQL Executor

SJTUBeamer

上海交通大学 Beamer 模版 | Beamer template for Shanghai Jiao Tong University

torchprofile

A general and accurate MACs / FLOPs profiler for PyTorch models

GAIRAT-LSA

Evaluating GAIRAT robustness using Logit Scaling Attack.

mtheme

A modern LaTeX Beamer theme

SJTUBeamermin

上海交通大学 LaTeX Beamer 幻灯片模板 - VI 最小工作集

nonlinear-IB-PyTorch

Pytorch Implementation of the Nonlinear Information Bottleneck

Pointwise_Dependency_Neural_Estimation

DRRDN

Implementation for the AAAI2021 paper: Adversarial Robustness through Disentangled Representations

SJTUThesis

上海交通大学 LaTeX 论文模板 | Shanghai Jiao Tong University LaTeX Thesis Template

TRADES

TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

Friendly-Adversarial-Training

Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)

mma_training

Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"

coder2gwy

互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

matplotlib-gallery

Examples of matplotlib codes and plots

missing-semester-cn.github.io

the CS missing semester Chinese version

advertorch

A Toolbox for Adversarial Robustness Research

iin

A Disentangling Invertible Interpretation Network

ganspace

Discovering Interpretable GAN Controls [NeurIPS 2020]

robust_representations

Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"

TH-CPL

清华大学计算机学科推荐学术会议和期刊列表

Logistic-and-LDA-from-Scratch

CS385 homework. Logistic regression and LDA from scratch.

EE359-Multi-Graph-Matching

Python implementation of three algorithms in paper "Unifying Offline and Online Multi-graph Matching via Finding Shortest Paths on Supergraph". Homework of EE359, Prof. Junchi Yan.

RealtimeConeDetection

1. Labelled a traffic cones dataset of 260 images. 2. Scripts to create your own dataset. & 3. Adapted YOLOv3 for SJTU racing team.

EECourse-Poem-Project