843 Open source projects that are alternatives of or similar to adapt

A collection of AWESOME things about domian adaptation

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

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

Dialogue Knowledge Transfer Networks (DiKTNet)

Domain-Adversarial Neural Network in Tensorflow

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

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

Library of transfer learners and domain-adaptive classifiers.

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

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

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

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

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

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

NLU: domain-intent-slot; text2SQL

Transfer-Learning-Library

Cross-domain NER using cross-domain language modeling, code for ACL 2019 paper

Finetuning any DNN for better embedding on neural search tasks

Implementation of Papers on Adversarial Examples

Python toolbox for transfer learning.

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

[IJCAI 2021] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

Adapt Transformer-based language models to new text domains

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

[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.

resource collection for transfer learning!

Feature engineering package with sklearn like functionality

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"

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

A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.

Tensorflow Implementation of open set domain adaptation by backpropagation

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

AutoGluon: AutoML for Text, Image, and Tabular Data

Awesome Multitask Learning Resources

Deep Transfer Learning Papers

Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

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

《迁移学习简明手册》LaTex源码

a sklearn wrapper for Google's BERT model

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

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (EMNLP'19)

Attending to Discriminative Certainty for Domain Adaptation

Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling

Domain adaptation networks for digit recognitioning

Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.

Framework of vectorized and distributed data analytics

Docker Start Guide with Python Development Environment

Questions, Help, and Issues for Comet ML

PyTorch implementation of "Pyramid Scene Parsing Network".

(AAAI2020)Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing

OpenMMLab FewShot Learning Toolbox and Benchmark

No description or website provided.

Framework to learn Named Entity Recognition models without labelled data using weak supervision.

FewCLUE 小样本学习测评基准，中文版

One Person, One Model, One World: Learning Continual User Representation without Forgetting

Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

Transfer learning algorithm TrAdaboost,coded by python