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Try to train a Triplet-Siamese-Netwrok with the constrained Triplet Loss for few shot image classification.
1st solution to AAAI 2021 and NeurIPS 2021 MetaDL competition from Team Meta_Learners. Serve as a strong baseline for cd metadl challenge.
A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.
BERT-based nominal Semantic Role Labeling (SRL), both using the Nombank dataset and the Ontonotes dataset.
Test your application on Kubernetes in a brand new simple way⚡ 轻量高效的微服务本地联调测试工具
Workshop Home Page for Benchmarking: Past, Present and Future
TensorFlow implementation of On the Sentence Embeddings from Pre-trained Language Models (EMNLP 2020)
Some Cool NLP and CV Repositories and Solutions （收集NLP中常见任务的开源解决方案、数据集、工具、学习资料等）
State-of-the-Art Text Embeddings
使用Bert，ERNIE，进行中文文本分类
Tensorflow2 implementation of CircleLoss. Support class-level, sparse class-level, pair-wise labels
Quick semantic search using Siamese-BERT encodings
Examples of playing with Circle Loss from the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization", CVPR 2020.
Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Language-Agnostic SEntence Representations
A curated list of resources for NLP (Natural Language Processing) for Korean
Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)
This is a repository for CSCI-GA.2110-001 recitation class.
The Graph that Generates Stories
《Natural Language Processing with PyTorch》中文翻译