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I am very interested in your work and I have read your original paper carefully. This is a great work but when I reproduced HSML by pytorch, I encountered some questions.
When I counted the amount …
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Thank you for sharing the code. Could you please provide the required version for the used libraries?
I could run the umtra.py script, but I get an error when running maml.py.
Here is the error:
…
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Hello, I am running the `toy_example.py` and printing out the loss and adapt_loss as shown below.
```
for t in range(TASKS_PER_STEP):
# Sample a task
task_param…
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### Search before asking
- [X] I searched the [issues](https://github.com/ray-project/ray/issues) and found no similar issues.
### Ray Component
Ray Tune, RLlib
### What happened + What you expec…
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## Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks (MAML)
- Authors: Chelsea Finn, Pieter Abbeel, Sergey Levine
- Organization: UC Berkeley & OpenAI
- Conference: ICML 2017
- Pap…
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Hello,
I read the paper "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks" and not clear about how the comparison was done between MAML and a pretrained network. Could you clarify my…
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Did you use MAML like method to train your model? If not, where is the meta part?
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Seems the output of the Lasso errors is lost when running inside a PacketFence process
Using a pure perl one line gives the output. Not within pfcmd.
In the example below, the idp.xml file had a bad…
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Получаю в readme следующее:
```
##### Принимаемые данные по конвейеру
- System.Management.Automation.PSModuleInfo
##### Передаваемые по конвейеру данные
- System.Xml.XmlDocument
```
Описаний при …
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Hi,
Thanks for the simpler implementation of MAML.
As per the MAML paper ```At the end of meta-training, new tasks are sampled fromp(T),and meta-performance is measured by the model’s perfor-man…