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Post a reading of your own that uses deep learning for social science analysis and understanding, with a focus on network, graph, or tabular data.
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We've known for a little while that an ML model can do surprisingly well at inferring PV power at time _t_ from satellite imagery at time _t_ (and even better from a handful of satellite images, centr…
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### 🐛 Describe the bug
Thank you for your documentation on executorch. I am working on deepfilternet and want to make it run on edge devices. I am trying to convert it into executorch but getting fol…
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### System information
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows 11 Pro using WSL 2
- Flax, jax, jaxlib versions (obtain with `pip show flax jax jaxlib`:
```
Name: flax
V…
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Hi, this is a nice job!
I have been trying to reproduce your work on GPU again, but I find it is very hard to understand the meanings of your model's inputs and outputs. (probably bc I am a freshm…
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I've a SIR model with many, many cells. They influence each other via a contact matrix. Thus for me, only a select cells are of interest.
Is there a way to suppress the output of `deriv` variables to…
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Hi everyone,
Thanks for the awesome work. I've been trying to export the pytorch model to ONNX for inference with `torch.onnx.export` but it yields this error : `OnnxExporterError: Unsupported: ON…
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Looks like Apex library needs CUDA, when i without cuda , getting below error. any idea.
args.sampling_rate, args.is_fp16, args.denoiser_strength)
File "inference.py", line 48, in main
…
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It would be great if this new MAE-style method called SparK was introduced to lightly.
Paper: https://arxiv.org/abs/2301.03580 featured in ICLR'23 Spotlight
Code: https://github.com/keyu-tian/Spar…
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I am trying to set up SSD on my own dataset. The dataset is composed of images of particles with a size of 2048x1536 and the objects have sizes between 25x25 to 60x60. It has only one class.
I trie…