P3n9W31

AES_bmp

a tool used to parse, encrypt and decrypt Bitmap file easily.

AttentionRNN

Attention-based RNN model for Chinese-English translation

CHlikelihood

用于比较两个中文句子相似度的工具

Leetcode

My Leetcode solutions

My_zh_LaTeX_Template

LaTeX中文模板收集

quic_draft_zh

QUIC 协议的概念设计和协议规范中文文档

quic_lr_draft_zh

QUIC中的丢包恢复与拥塞控制中文文档

transformer-pytorch

Transformer model for Chinese-English translation.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

TextAttack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

P3n9W31/transformer-pytorch

Transformer model for Chinese-English translation.

P3n9W31/quic_draft_zh

QUIC 协议的概念设计和协议规范中文文档

P3n9W31/AttentionRNN

Attention-based RNN model for Chinese-English translation

P3n9W31/adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

P3n9W31/awesome-sentence-embedding

A curated list of pretrained sentence and word embedding models

P3n9W31/BERT-NER-Pytorch

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

P3n9W31/ccf_2020_qa_match

ccf 2020 qa match competition top1

P3n9W31/cifar10_challenge

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

P3n9W31/cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

P3n9W31/FGPM

Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks

P3n9W31/handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

P3n9W31/mnist_challenge

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

P3n9W31/morpheus

Code for ACL'20 paper "It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations"

P3n9W31/mrc-for-flat-nested-ner

Code for ACL 2020 paper `A Unified MRC Framework for Named Entity Recognition`

P3n9W31/nlpaug

Data augmentation for NLP

P3n9W31/P3n9W31

P3n9W31/PWWS

Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency

P3n9W31/Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

P3n9W31/RIPPLe

Code for the paper "Weight Poisoning Attacks on Pre-trained Models" (ACL 2020)

P3n9W31/SEM

Code for Natural Language Adversarial Attacks and Defenses in Word Level

P3n9W31/SememePSO-Attack

Code and data of the ACL 2020 paper "Word-level Textual Adversarial Attacking as Combinatorial Optimization"

P3n9W31/SimCLR

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

P3n9W31/simhash

A Python Implementation of Simhash Algorithm

P3n9W31/sklearn-doc-zh

:book: [译] scikit-learn（sklearn） 中文文档

P3n9W31/text_classification

使用rnn,lstm,gru,fasttext,textcnn,dpcnn,rnn-att,lstm-att,bert,bert-cnn,bert-rnn,bert-rcnn,han,xlnet等等做文本分类，以及对比

P3n9W31/TextAttack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP

P3n9W31/TextAttack-Search-Benchmark

EMNLP BlackBox NLP 2020: Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples

P3n9W31/transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

P3n9W31/transformers-tutorials

Github repo with tutorials to fine tune transformers for diff NLP tasks

P3n9W31/Yet-Another-EfficientDet-Pytorch

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.