ProjectBabble
PyTorch_CIFAR10
| ProjectBabble | PyTorch_CIFAR10 | |
|---|---|---|
| 1 | 1 | |
| 183 | 606 | |
| 12.6% | - | |
| 8.5 | 0.0 | |
| 3 months ago | 11 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ProjectBabble
-
Vive focus 3 facial tracker with index
hm, maybe you could get the camera itself to work on PC but i don't think youd be able to switch on the LED's. If you somehow get it working, you can use it with project babble
PyTorch_CIFAR10
-
A wild question? Why CNNs are not aware of visual quality? [D]
However, when I make inference using a pre-trained CIFAR10 model link the confidence scores of the predicted classes are very high.
What are some alternatives?
merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
HDF5ImageMarker - Utility to making datasets of images and points coordinates that have been marked up on these images by user
torchgeo - TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Chinese-CLIP - Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
pytorch-image-models - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
JEM - Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"