jackki030 Goto Github PK

acnet

An unofficial Implementation of ACNet based on PyTorch.

adaptiveneuraltrees

Adaptive Neural Trees

attention-based-bilstm-relation-extraction

Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)

bert

TensorFlow code and pre-trained models for BERT

bert-chinese-text-classification-pytorch

使用Bert，ERNIE，进行中文文本分类

chinesener

A neural network model for Chinese named entity recognition

dancin_seq2seq

👿→😈

dataaug4nlp

Collection of papers and resources for data augmentation for NLP.

deeplearningmaliciousurls

Machine Learning Models to Detect and Classify Malicious URLs

deepwordbug

CodeBase for Paper: "Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers", / Interactive Demo @

densely-connected-cnn-with-multiscale-feature-attention

Densely Connected CNN with Multi-scale Feature Attention for Text Classification

detecting-malicious-url-machine-learning

dndt

Deep Neural Decision Trees

external-attention-pytorch

Pytorch implementation of various Attention Mechanism

gmcmthesis

2020 年研究生数学建模 LaTeX 模板

keras-io

Keras documentation, hosted live at keras.io

lit

The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.

lm-bff

ACL'2021: LM-BFF: Better Few-shot Fine-tuning of Language Models

malicious-url-detection

Detecting malicious URLs using Machine Learning

mixada

nlp-tutorials

Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

nlpaug

Data augmentation for NLP

openprompt

An Open-Source Framework for Prompt-Learning.

promptpapers

Must-read papers on prompt-based tuning for pre-trained language models.

pytorch-tutorial

Build your neural network easy and fast, 莫烦Python中文教学

pytorchinsight

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

real-time-phishing-website-detection

Using Machine learning classifier developed GUI which takes the url of suspicious websites as input and tells the user if it is a benign or malicious website and thus prevents the users from accessing malicious websites.

soft-decision-tree

pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"

taadpapers

Must-read Papers on Textual Adversarial Attack and Defense

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.