Comments (1)
@jamnicki Thank you for your suggestions! It is great to add a new function in the Client
.
What plans do you have for developing the library in the near future?
So far the project is holiday work, and we cannot secure a fixed time to contribute, but of course, I will keep contributing.
The next step of ALaaS is obvious, we wish to provide a better user experience for ML scientists and engineers from the following perspectives,
- Added more AL strategies.
- Support customized torch models.
- Support continual learning.
Welcome to make contributions if you have time : )
from active-learning-as-a-service.
Related Issues (20)
- Fix configuration of AL server.
- Add and benchmark strategies
- optimize imports of deep learning frameworks
- support models from huggingface
- initial round fine-tuning API for active learners
- support loading local files for AL
- Add contributors in the README.md HOT 6
- dropout active learning setting
- data management for large-scale active learning scenario
- Feedback in the Client Side
- Model Updater
- Pure Numerical Values as Embedding HOT 1
- need the docker file HOT 1
- intergrate with huggingface evaluate HOT 1
- make Asynchronous processing more modular? HOT 1
- transformers NER model service start failure HOT 3
- Github Action Script for Pushing Docker Image
- Missing model confidence values for NER model prediction result in error
- Enable large language model pipeline
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