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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 Jul 5, 2022
  • Python
haystack

deepset-ai / haystack

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Crawl dynamically loaded content of webpages

ZanSara
ZanSara commented Jun 13, 2022

Currently Crawler does not let JavaScript run on crawled pages. This leads to issues for websites that rely on fully dynamically loaded content that is not present in the DOM at loading time, but is fetched with JS immediately after.

We should investigate how to allow JavaScript to run on the crawled pages with Selenium and add a switch to the Crawler that allows users to do this.

Based on

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type:feature good first issue Contributions wanted! journey:intermediate
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awslabs / autogluon

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ZhaoJ9014 / face.evoLVe

Star 2.9k

🔥🔥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 May 30, 2022
  • Python

curiousily / Getting-Things-Done-with-Pytorch

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Star 1.6k

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
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

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 Jun 16, 2022
flow-forecast

AIStream-Peelout / flow-forecast

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ReadTheDocs compatible docstrings

2
isaacmg
isaacmg commented May 14, 2021

We have a lot of antiquated docstrings that don't render well into ReadTheDocs. A kind of grunge (but incredibly useful) task would be to refactor these docstrings into proper ReadTheDocs format. This would allow us to render them effectively...

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documentation help wanted good first issue
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