Comments (1)
I haven't come across it yet, but there are approaches like core sets or submodular optimization if you want to downsize your dataset.
from small-text.
Related Issues (20)
- Class weighting causes nan values in loss
- TransformerBasedClassification: validations_per_epoch > 2 leaves the model in eval mode
- LightweightCoreset should allow for other distance metrics
- Add auto mixed precision flag to Pytorch-based Classifiers
- Make more SetFitClassification parameters configurable
- Cloning a nested DatasetsViews raises an AttributeError
- Inconsistency: TransformerBaseClassification.embed() returns np.float32 while SetFitClassification returns np.float64
- Add ActivePETs query strategy HOT 1
- Batch size in greedy coreset batching is different than expected
- Device-side assertion not passed when training on cuda device and when there are added tokens to the tokenizer HOT 2
- When using EmbeddingBasedQueryStrategy with some transformers, model has an unsupported input `token_type_ids` when creating embeddings. HOT 1
- Update setfit version (>1.0.0)
- Additional options for Discriminative Active Learning HOT 8
- Unify the classifiers' initialize() methods
- EGL throws error HOT 4
- Improve README.md
- Link to the respective publication in the bibliography
- 'SequenceClassifierOutput' object has no attribute 'softmax' HOT 9
- Low values in pytorch integration HOT 6
- Use of large custom transformer model HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from small-text.