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Hi XTensor community,
I maintain [Flashlight](https://github.com/flashlight/flashlight), a lightweight library for machine learning used at Meta AI and elsewhere. Part of our goal with Flashlight i…
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1. [Binary Relevance Efficacy for Multilabel Classification](https://link.springer.com/article/10.1007/s13748-012-0030-x) > https://github.com/Gin04gh/datascience/issues/6#issuecomment-419388287
1. […
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Greetings folks, I've a small suggestion to improve the explanations about running a model on the Google Cloud Platform, (section Run training job in the README.md) for the newbies. Do whatever you w…
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Hello,
first of all, thank you very much for the very user-friendly package! Great work!
I am currently training a deep reinforcement learning agent that has a differentiable optimization as part …
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What optimization framework can this method be applied? What the difference with supervised learning, and Deep Reinforcement Learning?
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Hi dusty,
thank you for your good work!
I am currently using a Jetson Nano with the nvmm-disabled branch of this repository and everything is working fine so far. However, I would like to use the ba…
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Thanks for open sourcing this project. It is said that it does not perform single-model distributed training - this is an area of active research, and here we aim to provide the most practical solutio…
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I used this code to train my own data set. My data set came from ADNI. I used 240 pieces as the training set, 70 pieces as the verification set, and 34 pieces as the test set.I did not change other pa…
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The Stanford NLP documentation recommends changing to Stanza when working in Python:
> We are actively developing a Python package called Stanza, with state-of-the-art NLP performance enabled by de…
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When we try to use pretrained model to extract features, such as "python main.py --model ResNet18 --dataset cifar10 --strategy LeastConfidence --pretrained", it returns an error: AttributeError: 'ResN…