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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

QData / TextAttack

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Confusing error message when a model isn't supplied

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jxmorris12
jxmorris12 commented Sep 1, 2020

Output when I specify an attack without a model:

(torch) jxmorris12 12:50 PM > textattack attack --recipe bae
Traceback (most recent call last):
...
  File "/p/qdata/jm8wx/research/text_attacks/textattack/textattack/commands/attack/attack_args_helpers.py", line 343, in parse_model_from_args
    raise ValueError(f"Error: unsupported TextAttack model {args.model}")
ValueError: Error: un
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yongzhuo / nlp_xiaojiang

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自然语言处理（nlp），小姜机器人（闲聊检索式chatbot），BERT句向量-相似度（Sentence Similarity），XLNET句向量-相似度（text xlnet embedding），文本分类（Text classification）， 实体提取（ner，bert+bilstm+crf），数据增强（text augment, data enhance），同义句同义词生成，句子主干提取（mainpart），中文汉语短文本相似度，文本特征工程，keras-http-service调用

nlp text-classification distance chatbot chinese feature bert data-augmentation enhance text-augment xlnet
  • Updated Sep 23, 2021
  • Python

asteroid-team / torch-audiomentations

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Implement a transform that crops audio to a given length

iver56
iver56 commented Aug 5, 2021

The offset can be randomized, as long as the output has the specified length

Like https://github.com/Spijkervet/torchaudio-augmentations/blob/d044f9d020e12032ab9280acf5f34a337e72d212/torchaudio_augmentations/augmentations/random_resized_crop.py#L5

The idea is that one can have a chain of transforms, and some of them change the input length, but the final length should be fixed. That is where

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