Deeplite/deeplite-torch-zoo
Collection of SOTA efficient computer vision models for embedded applications, with pre-trained weights and training recipes
PythonApache-2.0
Issues
- 0
add firebase checkpoint load
#404 opened - 0
Add checkpoint load to training scripts
#401 opened - 0
Test torch.compile training performance
#400 opened - 0
refactor dependencies
#397 opened - 1
Setuptools causing build error
#395 opened - 0
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- 2
Mim install failing
#389 opened - 0
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Patch Ultralytics model wrapper to support export of zoo models (classification and detection)
#333 opened - 1
NASBench101 API to validate zero-cost scores
#326 opened - 0
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- 1
Question about tinyimagenet
#270 opened - 0
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Add tests for DNN blocks
#249 opened - 0
Add FCANet
#247 opened - 0
Support for mmclassification models
#246 opened - 1
- 1
Reuse block definitions across the zoo
#232 opened - 0
Add YOLOU models
#227 opened - 0
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Warning in map calculation
#190 opened - 0
add a method to generate checkpoint names
#189 opened - 0
Merge all_custom_class
#176 opened - 1
Add loss registry implementation
#170 opened - 0
Train.py multi gpu capability
#162 opened - 0
add pre-trained models
#160 opened - 0
OSerror on 245 epoch
#159 opened - 0
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Torch 1.9 compatibility
#139 opened - 1
- 1
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Better evaluators for classification
#121 opened - 1
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Sort out the dependencies
#109 opened - 0
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- 5
ValueError: numpy.ndarray size changed
#102 opened - 1
- 1
Make main API more user friendly
#97 opened - 0
Refactor sample training scripts
#94 opened - 0
Outstanding tasks
#93 opened - 0
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Release v 1.0.7
#60 opened - 0
Fix yolo5 family
#54 opened