454 Open source projects that are alternatives of or similar to pykale

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.

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

Awesome Multitask Learning Resources

Python toolbox for transfer learning.

A collection of AWESOME things about domian adaptation

Utils and modules for Speech Language and Multimodal processing using pytorch and pytorch lightning

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

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

Transfer-Learning-Library

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

Adapt Transformer-based language models to new text domains

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

Learning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

《迁移学习简明手册》LaTex源码

Meta learning with BERT as a learner

Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark

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

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

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

resource collection for transfer learning!

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

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

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

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

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

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

Library of transfer learners and domain-adaptive classifiers.

Awesome Domain Adaptation Python Toolbox

Deep Transfer Learning Papers

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

Transfer Learning library for Deep Neural Networks.

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.

An alternative EQA paradigm and informative benchmark + models (BMVC 2019, ViGIL 2019 spotlight)

Transfer Learning Shootout for PyTorch's model zoo (torchvision)

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

Building an image classifier using keras

A minimal pytorch package implementing a gradient reversal layer.

A guide to transfer learning with inception-resnet-v2.

Transfer Learning for Anime Characters Recognition

Code for Learning to select data for transfer learning with Bayesian Optimization

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Complete-Life-Cycle-of-a-Data-Science-Project

CNN image classifier implemented in Keras Notebook 🖼️.

[CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)

Code for Sluice networks: Learning what to share between loosely related tasks

BERT Dureader多文档阅读理解 排名第七

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

Play MK.js with TensorFlow.js

code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'

LibFewShot: A Comprehensive Library for Few-shot Learning.

Radiomics (here mainly means hand-crafted based radiomics) contains data acquire, ROI segmentation, feature extraction, feature selection, machine learning modeling, and stastical analysis.

Towards deepfake detection that actually works

一些关于机器学习的学习资料与研究介绍

LASER multilingual sentence embeddings as a pip package

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Improving Generalization via Scalable Neighborhood Component Analysis