703 Open source projects that are alternatives of or similar to TA3N

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

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

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

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

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

Learning to Cluster. A deep clustering strategy.

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

[ICML 2021] Break-It-Fix-It: Unsupervised Learning for Program Repair

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

A collection of AWESOME things about domian adaptation

《迁移学习简明手册》LaTex源码

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

和（he for objective-c） —— “信息熵减机系统”

My experimentation around action recognition in videos. Contains Keras implementation for C3D network based on original paper "Learning Spatiotemporal Features with 3D Convolutional Networks", Tran et al. and it includes video processing pipelines coded using mPyPl package. Model is being benchmarked on popular UCF101 dataset and achieves result…

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

Unsupervised learning of action classes with continuous temporal embedding (CVPR'19)

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

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

ICCV 19 Grouped Spatial-Temporal Aggretation for Efficient Action Recognition

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 Graph Self-Supervised Learning

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

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

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

Deep Transfer Learning Papers

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

Awesome Multitask Learning Resources

resource collection for transfer learning!

A comprehensive list of awesome contrastive self-supervised learning papers.

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Transfer-Learning-Library

Action recognition with C3D network implemented in tensorflow

Video Recognition using Mixed Convolutional Tube (MiCT) on PyTorch with a ResNet backbone

code for CVPR-2019 paper: Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics

Library of transfer learners and domain-adaptive classifiers.

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

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

[ICCV 2019 (Oral)] Temporal Attentive Alignment for Large-Scale Video Domain Adaptation (PyTorch)

Python toolbox for transfer learning.

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

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

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

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

Adapt Transformer-based language models to new text domains

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

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

Awesome Domain Adaptation Python Toolbox

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

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

一些关于机器学习的学习资料与研究介绍

Classify whether an image is of a Spiral or an Elliptical Galaxy using Transfer Learning (Tensorflow)

LASER multilingual sentence embeddings as a pip package

Improving Generalization via Scalable Neighborhood Component Analysis

Towards deepfake detection that actually works

Transfer Learning library for Deep Neural Networks.

Almost any Image classification problem using pytorch

Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

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.

Object classification with CIFAR-10 using transfer learning

🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.