All Projects → FewCLUE → Similar Projects or Alternatives

961 Open source projects that are alternatives of or similar to FewCLUE

CLUE pytorch
CLUE baseline pytorch CLUE的pytorch版本基线
Stars: ✭ 72 (-71.31%)
Mutual labels:  chinese, clue, bert
Clue
中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
Stars: ✭ 2,425 (+866.14%)
Mutual labels:  benchmark, chinese, bert
AiSpace
AiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0
Stars: ✭ 28 (-88.84%)
Mutual labels:  chinese, clue, bert
ganbert
Enhancing the BERT training with Semi-supervised Generative Adversarial Networks
Stars: ✭ 205 (-18.33%)
Mutual labels:  bert, few-shot-learning
DiscEval
Discourse Based Evaluation of Language Understanding
Stars: ✭ 18 (-92.83%)
Mutual labels:  benchmark, bert
Roberta zh
RoBERTa中文预训练模型: RoBERTa for Chinese
Stars: ✭ 1,953 (+678.09%)
Mutual labels:  chinese, bert
KLUE
📖 Korean NLU Benchmark
Stars: ✭ 420 (+67.33%)
Mutual labels:  benchmark, bert
embedding study
中文预训练模型生成字向量学习,测试BERT,ELMO的中文效果
Stars: ✭ 94 (-62.55%)
Mutual labels:  chinese, bert
BERT-chinese-text-classification-pytorch
This repo contains a PyTorch implementation of a pretrained BERT model for text classification.
Stars: ✭ 92 (-63.35%)
Mutual labels:  chinese, bert
KAREN
KAREN: Unifying Hatespeech Detection and Benchmarking
Stars: ✭ 18 (-92.83%)
Mutual labels:  benchmark, bert
Chineseblue
Chinese Biomedical Language Understanding Evaluation benchmark (ChineseBLUE)
Stars: ✭ 149 (-40.64%)
Mutual labels:  benchmark, chinese
protonet-bert-text-classification
finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet
Stars: ✭ 28 (-88.84%)
Mutual labels:  bert, few-shot-learning
Filipino-Text-Benchmarks
Open-source benchmark datasets and pretrained transformer models in the Filipino language.
Stars: ✭ 22 (-91.24%)
Mutual labels:  benchmark, bert
Nlp chinese corpus
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
Stars: ✭ 6,656 (+2551.79%)
Mutual labels:  chinese, bert
CBLUE
中文医疗信息处理基准CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
Stars: ✭ 379 (+51%)
Mutual labels:  benchmark, chinese
LightLM
高性能小模型测评 Shared Tasks in NLPCC 2020. Task 1 - Light Pre-Training Chinese Language Model for NLP Task
Stars: ✭ 54 (-78.49%)
Mutual labels:  chinese, bert
NLPDataAugmentation
Chinese NLP Data Augmentation, BERT Contextual Augmentation
Stars: ✭ 94 (-62.55%)
Mutual labels:  chinese, bert
OpenDialog
An Open-Source Package for Chinese Open-domain Conversational Chatbot (中文闲聊对话系统,一键部署微信闲聊机器人)
Stars: ✭ 94 (-62.55%)
Mutual labels:  chinese, bert
MobileQA
离线端阅读理解应用 QA for mobile, Android & iPhone
Stars: ✭ 49 (-80.48%)
Mutual labels:  chinese, bert
huozi.js
A simple typography engine for CJK languages, especially designed for game rich-text. 用于游戏富文本的中日韩文字排印引擎。
Stars: ✭ 135 (-46.22%)
Mutual labels:  chinese
IGUANA
IGUANA is a benchmark execution framework for querying HTTP endpoints and CLI Applications such as Triple Stores. Contact: [email protected]
Stars: ✭ 22 (-91.24%)
Mutual labels:  benchmark
Meta-SelfLearning
Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark
Stars: ✭ 157 (-37.45%)
Mutual labels:  benchmark
mini-nbody
A simple gravitational N-body simulation in less than 100 lines of C code, with CUDA optimizations.
Stars: ✭ 73 (-70.92%)
Mutual labels:  benchmark
Chinese-Word-Segmentation-in-NLP
State of the art Chinese Word Segmentation with Bi-LSTMs
Stars: ✭ 23 (-90.84%)
Mutual labels:  chinese
liar
Flexible, stand-alone benchmarking
Stars: ✭ 16 (-93.63%)
Mutual labels:  benchmark
react-native-css-in-js-benchmarks
CSS in JS Benchmarks for React Native
Stars: ✭ 46 (-81.67%)
Mutual labels:  benchmark
kwx
BERT, LDA, and TFIDF based keyword extraction in Python
Stars: ✭ 33 (-86.85%)
Mutual labels:  bert
TEXTOIR
TEXTOIR is a flexible toolkit for open intent detection and discovery. (ACL 2021)
Stars: ✭ 31 (-87.65%)
Mutual labels:  bert
policy-data-analyzer
Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.
Stars: ✭ 22 (-91.24%)
Mutual labels:  bert
PIE
Fast + Non-Autoregressive Grammatical Error Correction using BERT. Code and Pre-trained models for paper "Parallel Iterative Edit Models for Local Sequence Transduction": www.aclweb.org/anthology/D19-1435.pdf (EMNLP-IJCNLP 2019)
Stars: ✭ 164 (-34.66%)
Mutual labels:  bert
hyperspectral-soilmoisture-dataset
Hyperspectral and soil-moisture data from a field campaign based on a soil sample. Karlsruhe (Germany), 2017.
Stars: ✭ 23 (-90.84%)
Mutual labels:  benchmark
Hands-On-Deep-Learning-Algorithms-with-Python
Hands-On Deep Learning Algorithms with Python, By Packt
Stars: ✭ 76 (-69.72%)
Mutual labels:  few-shot-learning
KoBERT-nsmc
Naver movie review sentiment classification with KoBERT
Stars: ✭ 57 (-77.29%)
Mutual labels:  bert
few-shot-lm
The source code of "Language Models are Few-shot Multilingual Learners" (MRL @ EMNLP 2021)
Stars: ✭ 32 (-87.25%)
Mutual labels:  few-shot-learning
bert-as-a-service TFX
End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.
Stars: ✭ 32 (-87.25%)
Mutual labels:  bert
VideoBERT
Using VideoBERT to tackle video prediction
Stars: ✭ 56 (-77.69%)
Mutual labels:  bert
knowledge-graph-nlp-in-action
从模型训练到部署,实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。
Stars: ✭ 58 (-76.89%)
Mutual labels:  bert
benchmark-malloc
Trace memory allocations and collect stats
Stars: ✭ 18 (-92.83%)
Mutual labels:  benchmark
ntuthesis
台大碩博士論文模板 (R Package)
Stars: ✭ 14 (-94.42%)
Mutual labels:  chinese
MemoPainter-PyTorch
An unofficial implementation of MemoPainter(Coloring With Limited Data: Few-shot Colorization via Memory Augmented Networks) using PyTorch framework.
Stars: ✭ 63 (-74.9%)
Mutual labels:  few-shot-learning
CDFSL-ATA
[IJCAI 2021] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
Stars: ✭ 21 (-91.63%)
Mutual labels:  few-shot-learning
ADL2019
Applied Deep Learning (2019 Spring) @ NTU
Stars: ✭ 20 (-92.03%)
Mutual labels:  bert
json-serialization-benchmarking
Miscellaneous benchmarks for JSON serialization on JVM/Android
Stars: ✭ 48 (-80.88%)
Mutual labels:  benchmark
benchbox
🧀 The Benchmark Testing Box
Stars: ✭ 19 (-92.43%)
Mutual labels:  benchmark
criterion-compare-action
⚡️📊 Compare the performance of Rust project branches
Stars: ✭ 16 (-93.63%)
Mutual labels:  benchmark
TamoStudy
TamoStudy is a productivity work and study timer that implements a fun, virtual pet to help you stay driven to focus.
Stars: ✭ 35 (-86.06%)
Mutual labels:  pet
Meta-Fine-Tuning
[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.
Stars: ✭ 29 (-88.45%)
Mutual labels:  few-shot-learning
English-level-up-tips-for-Chinese
An advanced guide to learn English that might benefit you a lot 🎉 . 可能是让你受益匪浅的英语进阶指南。
Stars: ✭ 23,212 (+9147.81%)
Mutual labels:  chinese
fizzboom
Benchmark to compare async web server + interpreter + web client implementations across various languages
Stars: ✭ 46 (-81.67%)
Mutual labels:  benchmark
iohk-monitoring-framework
This framework provides logging, benchmarking and monitoring.
Stars: ✭ 27 (-89.24%)
Mutual labels:  benchmark
HugsVision
HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
Stars: ✭ 154 (-38.65%)
Mutual labels:  bert
cn.jenkins.io
Chinese version of the website
Stars: ✭ 30 (-88.05%)
Mutual labels:  chinese
chinese-support-redux
Anki add-on providing support for Chinese study
Stars: ✭ 88 (-64.94%)
Mutual labels:  chinese
autobench
Benchmark your application on CI
Stars: ✭ 16 (-93.63%)
Mutual labels:  benchmark
erc
Emotion recognition in conversation
Stars: ✭ 34 (-86.45%)
Mutual labels:  bert
syntaxdot
Neural syntax annotator, supporting sequence labeling, lemmatization, and dependency parsing.
Stars: ✭ 32 (-87.25%)
Mutual labels:  bert
BIRL
BIRL: Benchmark on Image Registration methods with Landmark validations
Stars: ✭ 66 (-73.71%)
Mutual labels:  benchmark
Prototypical-Networks
A novel method for few shot learning
Stars: ✭ 47 (-81.27%)
Mutual labels:  few-shot-learning
rakutenma-python
Rakuten MA (Python version)
Stars: ✭ 15 (-94.02%)
Mutual labels:  chinese
CSharpNamingGuidelines
C#命名规范中文版/C#编码规范中文版
Stars: ✭ 30 (-88.05%)
Mutual labels:  chinese
1-60 of 961 similar projects