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transfer-learning

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transferlearning

jindongwang / transferlearning

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

machine-learning deep-learning paper survey style-transfer theory transfer-learning papers representation-learning unsupervised-learning tutorial-code domain-adaptation generalization transferlearning domainadaptation meta-learning few-shot few-shot-learning self-supervised-learning domain-generalization
  • Updated Nov 18, 2021
  • Python

awslabs / autogluon

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haystack

deepset-ai / haystack

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Disable `UserWarning`s triggered by dependencies

ZanSara
ZanSara commented Nov 11, 2021

While running the tutorials is not rare to meet with UserWarnings that are caused by underlying dependencies like transformers or pytorch. I think UserWarnings that are triggered by Haystack's or the user's code should stay visible, but those coming from dependencies could be hidden, as there's nothing we or the final users can do about it.

Examples:

  • Tutorial 1: `/home/sara/work/hayst
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good first issue

ZhaoJ9014 / face.evoLVe

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

machine-learning computer-vision deep-learning pytorch artificial-intelligence feature-extraction supervised-learning face-recognition face-detection tencent transfer-learning nus convolutional-neural-network data-augmentation face-alignment imbalanced-learning model-training fine-tuning face-landmark-detection hard-negative-mining
  • Updated Sep 8, 2021
  • Python
transfer-learning-conv-ai

huggingface / transfer-learning-conv-ai

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RuntimeError: shape '[-1, 2, 34]' is invalid for input of size 61710

2
jb33k
jb33k commented Jun 4, 2019

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.json file structure and added my own data. I deleted dataset_cache_OpenAIGPTTokenizer file but when I try to train, I get this error:

INFO:train.py:Pad inputs and convert to Tensor
Traceback (most recent call last)
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good first issue

curiousily / Getting-Things-Done-with-Pytorch

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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.

nlp machine-learning tutorial computer-vision deep-learning time-series sentiment-analysis pytorch transformer lstm yolo face-recognition face-detection object-detection transfer-learning bert anomaly-detection time-series-forecasting coronavirus time-series-anomaly-detection
  • Updated Jun 14, 2021
  • Jupyter Notebook

chaoyanghe / Awesome-Federated-Learning

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Federated Learning Library: https://fedml.ai

machine-learning privacy computer-vision semi-supervised-learning transfer-learning wireless-communication distributed-optimization interpretability neural-architecture-search federated-learning continual-learning vertical-federated-learning non-iid decentralized-federated-learning hierarchical-federated-learning adversarial-attack-and-defense communication-efficiency straggler-problem computation-efficiency incentive-mechanism
  • Updated Oct 21, 2021
flow-forecast

AIStream-Peelout / flow-forecast

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