443 Open source projects that are alternatives of or similar to Deep Transfer Learning

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

An easy to use open-source library for advanced Deep Learning and Natural Language Processing

BERT Dureader多文档阅读理解 排名第七

Papers on Computational Advertising

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

Transfer learning in Caffe: example on how to train CaffeNet on custom dataset

视觉(语义) SLAM 相关研究跟踪

Image classification for everyone.

Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)

a sklearn wrapper for Google's BERT model

Learn how to use PyTorch to solve some common NLP problems with deep learning.

Transfer Learning library for Deep Neural Networks.

Summarizing the papers I have read (Japanese)

Transfer Learning Shootout for PyTorch's model zoo (torchvision)

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

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

NLU: domain-intent-slot; text2SQL

NLP Paper

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

Official Implementation of "Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers"

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

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

Easily train or fine-tune SOTA computer vision models with one open source training library

CNN image classifier implemented in Keras Notebook 🖼️.

Your local Flux surgeon

Play MK.js with TensorFlow.js

A list of NLP resources focused on event extraction task

LASER multilingual sentence embeddings as a pip package

No description or website provided.

Almost any Image classification problem using pytorch

Deep-learning seismic facies on state-of-the-art CNN architectures

Object classification with CIFAR-10 using transfer learning

A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation

Transfer learning for time series classification

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

NLP 和机器学习论文中文翻译

Link of ML papers to their blogs/ supplementary material

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

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

Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)

Awesome Resources for Advanced Computer Vision Topics

VisDA2020: 4th Visual Domain Adaptation Challenge in ECCV'20

Scientific time series and deep learning state of the art

Deep Learning: Image classification, feature visualization and transfer learning with Keras

A place to keep track of all the annotated papers.

国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)

Discussions on papers, frameworks, blogs and ideas every Saturday.

This Repository contains all tensorflow tutorials.

Repository for anime characters recognition website, powered by TensorFlow

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

A comprehensive collection of recent papers on graph deep learning

Author: Wenhao Yu ([email protected]). EMNLP'20. Transfer Learning for Technical Question Answering.

jiant is an NLP toolkit

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering

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…