PBC

ubuntu20.04安装微信2.6.8.65报错deepin_wine版本低

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```bash Downloads sudo dpkg -i deepin.com.wechat_2.6.8.65deepin0_i386.deb Selecting previously unselected package deepin.com.wechat:i386. (Reading database ... 224544 files and directories currently installed.) Preparing to unpack deepin.com.wechat_2.6.8.65deepin0_i386.deb ... Unpacking deepin.com.wechat:i386 (2.6.8.65deepin0) ... dpkg:...

最新链接用不了

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软件的下载链接用不了

gpu support and sklearn support

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请问现在可以支持gpu了吗?另外是否支持sklearn的gridSearchCV呢？

are you ready to Implement embedding part?

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thanks for your impl, and I found that you may not code emdedding part, I think the part is important too. I suggest that you could write a demo from...

ubuntu20.04安装微信报错

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```bash 🌟 尽量将main restricted universe multiverse这几个系统源都启用（自行百度），免得依赖问题多。 🌟 安装后需要注销重登录才能显示应用图标。 🌟 出了问题？先去github主页看README，再看别人提过的issue，再百度搜搜，避免直接就提issue。 如果觉得有用，不妨来给项目加个star：https://github.com/zq1997/deepin-wine (base) ➜ ~ sudo apt-get install com.qq.weixin.deepin E: Could not get lock /var/lib/dpkg/lock-frontend. It is held by process 8166...

Incorrect embedding dimension after training

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I want to use dna2vec for E. coli genome. When I set `2

thundersvm does not support sklearn

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thundersvm lacks necessary attributes so that I can not use thundersvm in sklearn. for example, thundersvm can not be used in GridSearchCV of sklearn. and, thundersvm can not be used...

can i add labeling function by your trained model?

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标注的行人属性包括性别、头发长度和上下身衣着、鞋子及包的种类和颜色，**并提供图像中行人头部、上身、下身、脚、帽子、包位置的标注。**

## Summary I use `conda install -c conda-forge lightgbm` to install lightgbm, and I found it may not support gpu device. ## Motivation Installing gpu-version lightgbm by `conda` command. ##...

If my input is a seq rather than a tensor in my model, how should I use IG?

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# my model ```python class Longformer_Net(nn.Module): def __init__(self, model_name, device, add_special_tokens=False, bidirectional=False, num_layers=1): super().__init__() self.device = device self.add_special_tokens = add_special_tokens self.model_name = model_name # model_name = 'pre-model/' + 'longformer-base-4096' self.config...