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activitynet_task_1

data_preparation+TSN+BSN

adv-eval-paper

LaTeX source for the paper "On Evaluating Adversarial Robustness"

adv-slides

awesome-cv

Awesome CV is LaTeX template for your outstanding job application

baidu_ai_attack_ssc

百度AI安全对抗赛代码，基于官方给出的PGD修改，主要内容为L2-PGD+EOT。

calabash

A final project of the course "Algorithm Design and Analysis"

cifar10_challenge

A challenge to explore adversarial robustness of neural networks on CIFAR10.

cpm-ckpts-conversion

合并或划分CPM模型，使之能单卡或更多卡运行

cpm-generate

Chinese Pre-Trained Language Models (CPM-LM) Version-I

cs231n

cs231n assignments

cs231n_1017spring

three assignments， work in local with python 2.7

cs240algorithmdesign

course project to find a approximate algorithm to deal with NP-complete problems

cv2

cv2 homework

decision-boundaries

code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-

deeplabv3-tensorflow

Reimplementation of DeepLabV3

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

dknn

edd-third-party

The third-party implement of Encoder Dual Decoder method for table recognition

featureattack

Strongest attack against Feature Scatter and Adversarial Interpolation

featurescatter

Feature Scattering Adversarial Training

gpustat-web

👓 A web interface of gpustat: monitor GPU clusters at a look

grid

We want to utilize CNN to solve Traveling Salesman Problem.

improve_partial_fc

Improve partial fully connected layer in the condition of memory limited

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

kaggle_icebergclassification

https://www.kaggle.com/c/statoil-iceberg-classifier-challenge

line290.github.io

machine_learning_hw

2018spring

magnetichystersisloop

Plot Magnetic Hystersis Loop

mixup-inference

Further improve robustness of mixup-trained models in inference (ICLR 2020)