450 Open source projects that are alternatives of or similar to Cross Domain_ner

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

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A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

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

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems

Awesome Domain Adaptation Python Toolbox

Python toolbox for transfer learning.

Adapt Transformer-based language models to new text domains

Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)

NLP library designed for reproducible experimentation management

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code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

Library of transfer learners and domain-adaptive classifiers.

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A collection of AWESOME things about domian adaptation

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

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

resource collection for transfer learning!

NLP Paper

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Deep Transfer Learning Papers

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

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Awesome Multitask Learning Resources

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

Gradients as Features for Deep Representation Learning

🔤 Calculate average word embeddings (word2vec) from documents for transfer learning

Repository of the paper "Generalizing Person Re-Identification by Camera-Aware Instance Learning and Cross-Domain Mixup"

Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

Meta learning with BERT as a learner

Self-contained Machine Learning and Natural Language Processing library in Go

Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)

POT : Python Optimal Transport

Indonesian Language Models and its Usage

Neural Paiters

Top-k Approximate String Matching.

Deepfakes Video classification via CNN, LSTM, C3D and triplets

Transfer Learning Toolkit for Primary Researchers

Language Model that makes you Laugh .

Skin cancer classification using Inceptionv3

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

A library & tools to evaluate predictive language models.

Pre-trained Chinese ELECTRA（中文ELECTRA预训练模型）

Keras implementation of BERT with pre-trained weights

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

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