1182 Open source projects that are alternatives of or similar to SIGIR2021_Conure

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"

Awesome Graph Self-Supervised Learning

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"

Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

A pytorch compatible data loader to create sequence of tasks for Continual Learning

An index of recommendation algorithms that are based on Graph Neural Networks.

This is our implementation of SAMN: Social Attentional Memory Network

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations

text generation based on transformer

Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

KitanaQA: Adversarial training and data augmentation for neural question-answering models

Code for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.

Official Implementation of Remembering for the Right Reasons (ICLR 2021)

🛠️ Tools for Transformers compression using PyTorch Lightning ⚡

Rank 1 / 216

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

Build a Movie Reviews Sentiment Classifier with Google's BERT Language Model

XPersona: Evaluating Multilingual Personalized Chatbot

The code for our IEEE ACCESS (2020) paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion.

Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

No description or website provided.

莱斯杯：全国第二届“军事智能机器阅读”挑战赛 - Rank7 解决方案

This repository contains code for the O'Reilly Live Online Training for BERT

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

SImple SenTence EmbeddeR

A data set and model for german sentiment classification.

Transformer related optimization, including BERT, GPT

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Implementation, trained models and result data for the paper "Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles"

Source code for the ACL workshop paper and Kaggle competition by Google AI team

Further developed as SyntaxDot: https://github.com/tensordot/syntaxdot

A PyTorch-based model pruning toolkit for pre-trained language models

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

Data and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.

Instructions for how to convert a BERT Tensorflow model to work with HuggingFace's pytorch-transformers, and spaCy. This walk-through uses DeepPavlov's RuBERT as example.

Your local Flux surgeon

Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020

This is our implementation of EATNN: Efficient Adaptive Transfer Neural Network (SIGIR 2019)

Deep Learning Transformer models in MATLAB

Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".

This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).

This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.

Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019

MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems

Contextualised Embeddings and Language Modelling using BERT and Friends using R

Persian Bert For Long-Range Sequences

Code for the paper "Are Sixteen Heads Really Better than One?"

Recommendation based on sequence

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

All NLP you Need Here. 个人实现了一些好玩的NLP demo，目前包含13个NLP应用的pytorch实现

CVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!