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I thought it'd be fun to start tracking the network's performance on basic checkmates as it evolves. (I'm not trying to train it, just to evaluate the different generations.) Here's what I've got for …
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Thank you for your open source code, but when I load the pre-trained weights, some weights are lost.
pretrain_network_g: /home/tzz/Work_file/CODE/SRFormer-main/SRFormer_S_RealSR.pth
options: test_…
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I've been struggling to get this to build across a few different devices (mostly on Fedora 37) with several versions of esp-idf (2.1, 3.2, 4.4, 5.0.1) and I'm constantly running into different errors.…
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(diff-svc) C:\diff-svc-main\diff-svc-main>python run.py --config training/config_nsf.yaml --exp_name test --reset
| Hparams chains: ['training/config_nsf.yaml']
| Hparams:
K_step: 1000, accumulate…
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Hi,
Thank you for this great work. Do you have any plans to make it possible to explain RNN/LSTM models? Right now I have to make the explanation with LIME and then I plot it with force_plot.
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在使用 `deepxde` 训练的时候,为了测试一些极端情况,我经常把输入数据设置的极小(接近0)或者超过几百,或者有些写了错误的边界条件、初始条件,这时候训练模型`Train loss`和`Test loss`会出现`nan`,并且立刻停止训练。出现这种情况一般需要截断误差,即如果一旦损失值超过某个界限[lossmax],就直接截断,取预先设定的值。规范化 PDE或分配损失权重( normali…
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Hi
I have run a model using vanilla nnUNetv2, and am now trying to train again using the ResEnc plan (XL size on an A100 machine). The vanilla completed training but with ResEnc, it crashes at the st…
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I would like to ask why the multi-scale anomaly score map can directly calculate the AUROC with the ground truth. What is the relationship between the anomalies represented by the feature similarity o…
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Minigo v17 use Squeeze And Excitation network(SENet). Therefore, it doesn't work well in leela zero without editing network inference code.
I have tried to implement SENet in leela zero. And succee…
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## Keyword: efficient
### End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs
- **Authors:** Javier Campos, Zhen Dong, Javier Duarte, Amir Gholami, Michael W. Mahoney,…