螺旋熵减理论

中国海洋大学视觉实验室前沿理论小组 pytorch 学习

PyTorch Tutorial for Deep Learning Researchers

A list of NLP(Natural Language Processing) tutorials

Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

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

Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

An index of algorithms for learning causality with data

Dilate Gated Convolutional Neural Network For Machine Reading Comprehension

Code for the paper: Sentence-State LSTM for Text Representation

PyTorch deep learning models for document classification

Sequence Encoding via Dynamic Routing for Text Classification

Graph Convolutional Networks for Text Classification. AAAI 2019

A pytorch implementation of CapsNet for text classification 汽车行业用户观点主题及情感识别为例(subject-and-sentiment-analysis)

A Capsule Implement with Pure Keras

Pytorch Implementation of the Stacked Capsule Autoencoders

A pytorch implemention of "Sentiment Analysis by Capsules"

a pytorch implement of Hinton's capsule network.

The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

Open Chinese Language Pre-trained Model Zoo

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021

Code for the IJCAI2020 submission: "BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval"

中国法研杯-司法人工智能挑战赛

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

pytorch implementation of multi-label text classification, includes kinds of models and pretrained. Especially for Chinese preprocessing.