ml-explore / ml-explore/mlx-examples
Loader of pretrain Resnet on imageNet
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enhancement
- Dominant language
- Python
- Stars
- 9k
- Forks
- 1.2k
- PR merge metrics
- No merged PRs in 30d
Description
Would be nice to have a loader of pretrain weights for Resnet on imageNet (1000 tasks) from keras or torch: https://pytorch.org/vision/main/models/resnet.html or https://www.tensorflow.org/api_docs/python/tf/keras/applications/resnet50/ResNet50
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No repository files, tests, or entry points are named. Start by comparing the linked PyTorch and TensorFlow ResNet APIs and determine how the loader should obtain pretrained ImageNet weights; done means a ResNet loader supports those weights for the 1000-class ImageNet model.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch, tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100