torch 推理dataparallel predict_dataset 在PyTorch中,DataParallel是一个模块,它可以将模型复制到多个GPU上,并在每个GPU上并行地处理数据的一部分。这对于利用多GPU加速模型的训练和推理特别有用。以下是一个关于如何使用DataParallel进行模型推理并预测整个数据集的示例。 首先,确保你已经安装了PyTorch,并且你的机器上有...
JRC PREDICT Datasets Explore EU Data from the Joint Research Centre Overview More details about each file are in the individual file descriptions. This is a dataset from Joint Research Centre hosted by the EU Open Data Portal. The Open Data Portal update their information according the frequency ...
RACE: Large-scale reading comprehension dataset from examinations. In Proceedings of the Conference on Empirical Methods in Natural Language Processing. Scao 和 Rush,2021. How many data points is a prompt worth? In Proceedings of the Confer- ence of the North American Chapter of the Association ...
For Korean speech emotion detect, this model is trained by Korean dataset. There is no enough Korean dataset, so i tried to make this repo. machine-learningpyaudiodeep-learningcnnpytorchspeech-recognitiondensenetpredictserros-kineticspeech-emotion-recognitiondensenet121korean-speech-recognitionkorean-speech...
这是由欧盟开放数据门户网站托管的联合研究中心的数据集。有关每个文件的更多详细信息,请参见各个文件的说明。
To show its general applicability, we test OutPredict on five different species (Table 1): (i) a Bacillus subtilis dataset (ii) an Arabidopsis dataset in shoot tissue (iii) a Escherichia coli dataset (iv) a Drosophila time series dataset, and (v) the DREAM4 one-hundred node in silico ...
│ ❱ 136 │ │ return super().predict(test_dataset, ignore_keys=ignore_keys, metric_key_prefix= │ │ 137 │ │ │ 138 │ def prediction_step( │ │ 139 │ │ self, │ │ │ │ /data/software/anaconda3/lib/python3.9/site-packages/transformers/trainer.py:3129 in predict │ ...
把这个encoder得到的特征叫做low dimensional feature。用这个low dimensional feature做KNN聚类。 数据集 North-Western UCLA (NW-UCLA) dataset UWA3D Multiview Activity II (UWA3D) dataset NTU RGB+D dataset
---部分感知LSTM: 2016-CVPR-Ntu rgb+ d: A large scale dataset for 3d human activity analysis. ---由于骨架数据是有噪声的,很大程度上是由于相机视图的差异,先前的工作提出了一种视图自适应RNN (V A-RNN),它学习从原始骨架数据到一般姿态的转换。
这是由欧盟开放数据门户网站托管的联合研究中心的数据集。有关每个文件的更多详细信息,请参见各个文件的说明。