466 Open source projects that are alternatives of or similar to transfertools

Awesome Multitask Learning Resources

A collection of AWESOME things about domian adaptation

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

《迁移学习简明手册》LaTex源码

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

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

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

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

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

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.

resource collection for transfer learning!

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

Deep Transfer Learning Papers

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

Transfer-Learning-Library

Awesome Domain Adaptation Python Toolbox

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

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

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

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

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Adapt Transformer-based language models to new text domains

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

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

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

Library of transfer learners and domain-adaptive classifiers.

Transfer Learning for Anime Characters Recognition

BERT Dureader多文档阅读理解 排名第七

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

Towards deepfake detection that actually works

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

CNN image classifier implemented in Keras Notebook 🖼️.

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

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

A minimal pytorch package implementing a gradient reversal layer.

A scikit-learn compatible library for anomaly detection

中文ULMFiT 情感分析 文本分类

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

Play MK.js with TensorFlow.js

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

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

Improving Generalization via Scalable Neighborhood Component Analysis

Almost any Image classification problem using pytorch

Image classification for everyone.

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

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

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

Object classification with CIFAR-10 using transfer learning

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

🔍 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.

a sklearn wrapper for Google's BERT model

kaggle Dog Breed Identification

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

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

Open Toolkit for Painless Object Detection

Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Transfer Learning library for Deep Neural Networks.

Reinforcement Learning and Transfer Learning based StarCraft Micromanagement

Awesome Resources for Advanced Computer Vision Topics