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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 meta-learning few-shot few-shot-learning self-supervised-learning domain-generalization domain-adaption
  • Updated Dec 29, 2021
  • Python

awslabs / autogluon

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Feature Tools integration

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willsmithorg
willsmithorg commented Dec 26, 2021

Could FeatureTools be implemented as an automated preprocessor to Autogluon, adding the ability to handle multi-entity problems (i.e. Data split across multiple normalised database tables)? So if you supply Autogluon with a list of Dataframes instead of a single Dataframe it would first invoke FeatureTools:

  • take the multiple Dataframes (entities) and try to auto-infer the relationship betwee
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enhancement help wanted good first issue tabular
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haystack

deepset-ai / haystack

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"Duplicate Document" error messages report incorrect index when not using default index.

4
maxupp
maxupp commented Nov 12, 2021

_handle_duplicate_documents and _drop_duplicate_documents in the elastic search document store will always report self.index as the index with the conflict, which is obviously incorrect.

Edit: Upon further investigation, this is actually a lot worse. Using multiple indices with the ElasticSearch DocumentStore is completely broken due to the fact, that this is used in `_handle_duplicate_do

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type:bug good first issue Contributions wanted! topic:elasticsearch

ZhaoJ9014 / face.evoLVe

Star 2.7k

🔥🔥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 Dec 9, 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

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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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curiousily / Getting-Things-Done-with-Pytorch

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Star 1.4k

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

Star 1.2k

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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