319 Open source projects that are alternatives of or similar to BA3US

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

Deep Transfer Learning Papers

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

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

resource collection for transfer learning!

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

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

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

Transfer-Learning-Library

《迁移学习简明手册》LaTex源码

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

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

Awesome Domain Adaptation Python Toolbox

Library of transfer learners and domain-adaptive classifiers.

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

Adapt Transformer-based language models to new text domains

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

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.

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.

Awesome Multitask Learning Resources

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

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 "Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation"

Unseen Object Segmentation in Videos via Transferable Representations, ACCV 2018 (oral)

Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Address book for computer vision models.

Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

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

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

stylegan-nada.github.io/

🤖 Cozmo the Robot recognizes objects with TensorFlow

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

A project on improving Neural Networks performance by using Genetic Algorithms.

Real-time AI-powered translation of American sign language to text

A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

A Simple but Powerful CNN Trainer For PyTorch

Implementation of Domain Adaption in One-Shot Learning

Implementation of "GRNet: Gridding Residual Network for Dense Point Cloud Completion". (Xie et al., ECCV 2020)

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…

Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)

Code for implementation of Unlearning Scanner Bias for MRI Harmonisation

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

Implementation of ULMFit algorithm for text classification via transfer learning

Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577

Code and datasets for EMNLP2018 paper ‘‘Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification’’.

Scripts utilizing Heartex platform to build brand sentiment analysis from the news

AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds (ECCV 2020)

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

Face Recognition with Transfer Learning

✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

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

Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

tensorflow object detection api helper tool ( custom object detection )

A minimal pytorch package implementing a gradient reversal layer.