torchextractor
Feature extraction made simple with torchextractor (by antoinebrl)
merged_depth
Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models (by p-ranav)
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| torchextractor | merged_depth | |
|---|---|---|
| 1 | 3 | |
| 99 | 45 | |
| - | - | |
| 4.2 | 1.8 | |
| about 3 years ago | over 2 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
torchextractor
Posts with mentions or reviews of torchextractor.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-11.
-
[P] Pytorch: Intermediate Feature Extraction
Recently I worked on torchextrator, a standalone python package that makes it simple to extract features in PyTorch. You no longer need to duplicate code and rewrite the forward function. Also the extractor supports nested modules, custom caching operations and is ONNX compatible!
merged_depth
Posts with mentions or reviews of merged_depth.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-19.
- [P] Monocular Depth Estimation - I ran a number of fairly well-known pre-trained models and looked at the average
-
Monocular Depth Estimation - Running multiple pre-trained models and looking at the average
Project Link: https://github.com/p-ranav/merged_depth
- I ran 4 pre-trained depth estimation models and looked at the average
What are some alternatives?
When comparing torchextractor and merged_depth you can also consider the following projects:
stringlifier - Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.
AdaBins - Official implementation of Adabins: Depth Estimation using adaptive bins