319 Open source projects that are alternatives of or similar to Transformers-Domain-Adaptation

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

Library of transfer learners and domain-adaptive classifiers.

Awesome Domain Adaptation Python Toolbox

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!

Deep Transfer Learning Papers

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

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

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

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

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

Awesome Multitask Learning Resources

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

Python toolbox for transfer learning.

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

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

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.

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

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

《迁移学习简明手册》LaTex源码

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

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

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"

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

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

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 multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️

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

A Simple but Powerful CNN Trainer For PyTorch

This is the second part of the Deep Learning Course for the Master in High-Performance Computing (SISSA/ICTP).)

Implementation of Domain Adaption in One-Shot Learning

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.

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…

Implementation of ULMFit algorithm for text classification via transfer learning

This repository contains the implementation of the paper -- Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis

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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

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Protein Language Model

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

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

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

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

tensorflow object detection api helper tool ( custom object detection )

Guide: Finetune GPT2-XL (1.5 Billion Parameters) and finetune GPT-NEO (2.7 B) on a single GPU with Huggingface Transformers using DeepSpeed

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

Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.

Dialogue Knowledge Transfer Networks (DiKTNet)

A minimal pytorch package implementing a gradient reversal layer.