ltt
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control (by aangelopoulos)
| sign_language_detector | ltt | |
|---|---|---|
| 2 | 1 | |
| 3 | 56 | |
| - | - | |
| 0.0 | 1.6 | |
| almost 3 years ago | 12 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
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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.
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.
sign_language_detector
Posts with mentions or reviews of sign_language_detector.
We have used some of these posts to build our list of alternatives
and similar projects.
-
How to customize the dataset in this code (mediapipe)
Hello. I am very new to Jupyter Notebook and programming in general and things got a little confusing for me. So I'm trying to run this program from this GitHub link https://github.com/prp-e/sign_language_detector So far, it works for me and it was able to do the task intended. However, I was wondering how could I customize the dataset to my liking (i.e. using different words rather than the ones already included) for translation? Steps 5 and 6 of the notebook are data gathering and adding data to the CSV file, respectively, but when I ran it, it didn't change the dataset.
- Sign language detector/translator using mediapipe and scikit-learn (if you give me a star on github, I'll appreciate your kindness)
ltt
Posts with mentions or reviews of ltt.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-06.
-
[R] Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification - Link to a free online lecture by the author in comments
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control https://arxiv.org/abs/2110.01052 https://github.com/aangelopoulos/ltt
What are some alternatives?
When comparing sign_language_detector and ltt you can also consider the following projects:
machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
nlpaug - Data augmentation for NLP
CameraTraps - PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.