Everything about Transfer Learning and Domain Adaptation--迁移学习
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Updated
Aug 6, 2020 - Python
Everything about Transfer Learning and Domain Adaptation--迁移学习
AutoGluon: AutoML Toolkit for Deep Learning
A library for transfer learning by reusing parts of TensorFlow models.
A collection of AWESOME things about domian adaptation
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.
Toolkit for Pre-trained Model Application of PaddlePaddle(『飞桨』预训练模型应用工具 )
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
Keras implementation of BERT with pre-trained weights
High Quality Monocular Depth Estimation via Transfer Learning
Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2020)。
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
Official Pytorch implementation of CutMix regularizer
TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Transfer-Learning-Library
TensorFlow and PyTorch implementations of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
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