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Hi yeye,
I am interested in your method CCST. It is a nice method for analyzing spatial transcriptomics!
I tried to cluster DLPFC samples with CCST. I did not find the hyperparameter settings fo…
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9/22까지
종우: 대체 loss 만들기 + algorithm 점검
혜인: Loss와 termination criteria 관련 study ~ 9/26
준수: ~9/22 (RAY tuner)
9/22 - 9/31
서버에서 계산 + 글완성
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Hi Kassem,
I like this project.
I recommend replacing XGBoost with CatBoost. CatBoost handles categorical features more efficiently and often requires less hyperparameter tuning. For more infor…
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Does it require any adjustment? Should we change any hyperparameters etc.?
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Greetings! I am trying your work on my own indoors colmap dataset.
I am running it with this config: `code_single/configs/exps/lotd_neus.colmap_indoor.230829.yaml`
The only problem is that I hav…
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Hello !
It is a bit unclear to me which hyper parameters you used to train your model, could you provide a complete list of your best models for DIPS and DB5? In particular, I am not sure whether nod…
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#### 1) I recommend:
To talos.Scan(), add a parameter:
"hyperparameter_config": for example, a dictionary in the format:
KEY: 'name of hyperparameter as listed in talos.Scan(params)' ;
…
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Hello there,
I'm new to neural speed, coming from llama-cpp-python, and i encounter some problems (probably due to a misunderstanding on my side).
I don't want to flood you with issues so I'll s…
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### What is the issue?
[root@ubuntu]$ ollama run magnum-v2:12b-fp16
Error: exception error loading model hyperparameters: iinvalid n_rot: 160, expected 128
[root@ubuntu]$ ollama run magnum-v2.5:1…
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**Is your feature request related to a problem? Please describe.**
Many DL models need extensive hyperparameter optimization in order to find the best-performing model. Since the `v0.1` version #142 …