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Hi Guys,
I am pretty excited to see this framework. Thank alot guys for putting a lot of effort into this framework development.
The Jupyter Hub notebook tutorials are excellent.
I tried to co…
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Similarly to the `ParallelEncoder`, a `ParallelDecoder` setup could allow multi-task learning. This should not be too hard to implement but we need to take care of some details:
* support separate …
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## 一言でいうと
自然言語処理における、マルチタスクのモデルの提案。マルチタスクではネットワーク構造のうちどれくらいを共有・タスク個別にするか決める必要があるが、レイヤをサブスペースに分割し、レイヤのどのパート、またどのレイヤを重視するか学習できるような構造を提案している。
![image](https://user-images.githubusercontent.com/5442…
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**Feature Request: LangGraph Integration for Adaptive Agent Workflows in PufferLib**
**Objective**: Expand PufferLib’s capabilities by integrating LangChain, TRL (Transformers Reinforcement Learnin…
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Hi,
I would like to ask about the MTL architectures. I'm trying to visualize the two MTL architectures provided in this repo. The first one is "Train_MultiTask." In this architecture, The POS and ch…
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### Model Name
MolE molecular embeddings
### Model Description
MolE is a foundation model for chemistry developed by Recursion. It combines geometric deep learning with transformers, to learn a mea…
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- [ ] [system-2-research/README.md at main · open-thought/system-2-research](https://github.com/open-thought/system-2-research/blob/main/README.md?plain=1)
# OpenThought - System 2 Research Links
He…
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Thanks for your contribution and excellent work of tutel!
I am wondering can I use tutel to implement the multi-gate above experts like the picture as follows?
![Screenshot 2021-12-26 at 10 52 16 P…
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跑的是DQN算法这是运行结果：
Model is controlled by use_NN mode
start simulation with DQN algorithm
map_xdim: 13 map_ydim: 12 state_number: 3
load NN
Traceback (most recent call last):
File "E:\Reinforce…