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### Title
confounds: deconfounding library to properly handle confounds
### Short description and the goals for the OHBM BrainHack
Develop a python library of methods to handle confounds in…
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- **Package Name**: arm-machinelearning
- **Package Version**: 2.1.1
- **Operating system**: Windows 10
- [x] **nodejs**
- **version**: v20.11.1
- [ ] **browser**
- **name/version**:
-…
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Hi everyone,
I am new to GAN and torch so please bear with my limited knowledge here.
I was trying to train on set E and everything seemed to be fine until before the last iteration of the last…
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We do have a sample of [image classification w/ TF](https://github.com/dotnet/machinelearning-samples/blob/b40499b69fddd751f2c582e748f8f1de64497d84/samples/csharp/getting-started/DeepLearning_TensorFl…
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Investigate different versions of YOLO (v3, v4, v5). Some of them are faster, other ones more accurate.
There are probably some object detection models used specifically for soccer or american footb…
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Python:
```
from darkflow.net.build import TFNet
import cv2
import Z_folder_scann
import time
options = {"model": "cfg/yolov3-tiny.cfg", "load": "tiny-yolov3_51200.weights", "threshold": 0.1…
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@Anipik: We could make a good benchmark for the image processing pipeline.
I'd recommend using the Dog Breeds vs. Fruits dataset which we used in [NimbusML for its image examples](https://docs.micro…
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I designed (not trained) a siamese CNN network in Keras (python) and exported it as a SavedModel with the random weights.
_Input = 4 dimensions (left/right image, height, width, RGB).
Output = chang…
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`import torch
import torch.autograd
import torch.nn
import torch.multiprocessing
import torch.utils
import torch.legacy.nn
import torch.legacy.optim
xp = torch.load(r"D:\SDS\1_MachineLearning…
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While our machinelearning-samples repo has F# samples, the ML.Net API documentation examples do not contain F# examples.
This is a work item to add F# examples to demonstrate API usage and to mirro…