404 Open source projects that are alternatives of or similar to Multitask Learning

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

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

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.

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

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"

resource collection for transfer learning!

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

Deep Transfer Learning Papers

Transfer-Learning-Library

《迁移学习简明手册》LaTex源码

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

Meta learning with BERT as a learner

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

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

Library of transfer learners and domain-adaptive classifiers.

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

A collection of AWESOME things about domian adaptation

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

Awesome Domain Adaptation Python Toolbox

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

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

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

Adapt Transformer-based language models to new text domains

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

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

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

Python toolbox for transfer learning.

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

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

NLP library designed for reproducible experimentation management

Meta graph convolutional neural network-assisted resilient swarm communications

DropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020

A PyTorch implementation for Adversarial Discriminative Domain Adaptation

和（he for objective-c） —— “信息熵减机系统”

AutoDIAL Caffe Implementation

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

Transfer learning for time series classification

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

Personalizing Dialogue Agents via Meta-Learning

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

Deep Learning Computer Vision Algorithms for Real-World Use

Learning to Cluster. A deep clustering strategy.

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

No description or website provided.

A library for transfer learning by reusing parts of TensorFlow models.

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

Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].

A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.

Link of ML papers to their blogs/ supplementary material

Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.

This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

REVOLVER - Repeated Evolution in Cancer

Domain adaptation networks for digit recognitioning

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.

PyTorch implementation of "Pyramid Scene Parsing Network".