Everything about Transfer Learning and Domain Adaptation--迁移学习
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Updated
Aug 13, 2020 - Python
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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
Question
Hi, I have been experimenting with the QA capabilities of Haystack and so far. I was wondering if it was possible for the model to generate paragraph-like contexts.
Additional context
So far, when a question is asked, the model outputs an answer and the context the answer can be found in. The context output by the model is oftentimes fragments of a sentence or fragments of a
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)。
Official Pytorch implementation of CutMix regularizer
Per this comment in #12
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
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.
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
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I'm playing around with this wonderful code but I'm running into a curious issue when I try to train the model with my own data.
I replicated the
personachat_self_original.jsonfile structure and added my own data. I deleteddataset_cache_OpenAIGPTTokenizerfile but when I try to train, I get this error: