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@tingtingliangvs
I have the same problem as the issue https://github.com/ADLab-AutoDrive/BEVFusion/issues/23
I use the weight parameter provided by the author cam_pp.pth https://drive.google.com/fi…
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**Is your feature request related to a problem? Please describe.**
New paper Risbey et al. 2021 demonstrates how forecaster choices for time selection in bias reduction impacts skill.
Reference: h…
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## Environment info
- `adapter-transformers` version: 3.1.0
- Platform: Ubuntu 18.04 (Linux-5.4.0-87-generic-x86_64-with-glibc2.27)
- Python version: Python 3.9.13
- PyTorch version (GPU?…
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Next are listed the reductions over numerical types defined in pandas. These can be applied:
- To `Series`
- To N columns of a `DataFrame`
- To group by operations
- As window functions (window,…
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Hello Everyone,
As I don't have a single GPU with enough VRAM, I thought about modifying the [loader.py](https://github.com/GAIR-NLP/anole/blob/main/chameleon/inference/loader.py) to add accelerate…
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Add comments throughout reduction to tell me things like image/bias/flat sizes, what step pydis is at, etc. then add a /silent switch (similar to beloved IDL) to STFU when needed.
kweis updated
6 years ago
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You should use the avg_pool to the input x, and use fc-->fc and expand as the input x's dimension. Then use the shortcut connection.
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Reading through the lecture notes on variance and covariance, there are a few pages on how outliers (especially extreme ones) affect covariance. I assume the same issue extends to even dramatizing or …
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### 🚀 The feature, motivation and pitch
Currently, the `reflection_pad2d_backward_cuda` operation used in neural network training cannot be computed deterministically on the GPU. This causes issues f…
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In the `distributed` mode each agent is responsible to control one generator. In your case one agent has only one action. If I want to have multiple actions per agent what changes should I make?