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Hi everyone,
I implemented model-agnostic meta-learning (MAML) for dialogue state tracking (DST) based on trade in this [repo](https://github.com/ha-lins/MAML-DST). The implementation is similar to…
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### What would you like added/changed?
It would be great if extensions had access to an established resource management API. What do I mean by that? Take Bukkit/Spigot/Paper for example and how it ha…
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数据集就是Omniglot，直接运行代码。
与readme中的图很不一样。
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比如，5-way-5shot few shot在测试阶段不是会去5*5的support data进行训练微调然后在query data上进行测试嘛，我看你的代码中在test阶段好像没有更新参数的过程？是我哪里理解错了嘛？
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Hi,
I use `MAML.adapt` to update my cloned learner with first order approximation, and find the training speed decreases with the number of training steps in each iteration.
My code is as follow:
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Hi,
I'm trying to train MTP models with the previous example data and notebook from mlearn package (current MAML seems not having that notebook), but the training process fails with configuration fil…
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Thanks for the excellent hyper-grad implementation! I read the iMAML example, but in MAML, the whole network is the meta-model, and in the feature-head setting, we have a common feature extractor as t…
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Hey! Thank you very much for the code base!
I am having troubles reproducing the results in the paper / setting the hps for the cifar and imagenet datasets.
Could you provide the calls to do so? A…
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In the code, when training Per-FedAvg, there are two steps, and each step sample a batch of data and perform parameter update. But in the MAML framework, I think the first step is to obtain a fast wei…