jarconfig vs tf-explain

jarconfig

combined scripts for tf2 (by JarateKing)

Tf2

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tf-explain

Interpretability Methods for tf.keras models with Tensorflow 2.x (by sicara)

Interpretability Deep Learning Tensorflow Tf2 Keras Visualization Machine Learning

Source Code

tf-explain.readthedocs.io

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jarconfig		tf-explain
	Project
3	Mentions	1
17	Stars	1,007
-	Growth	0.0%
0.0	Activity	0.0
about 2 years ago	Latest Commit	almost 2 years ago
Python	Language	Python
MIT License	License	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.

jarconfig

Posts with mentions or reviews of jarconfig. We have used some of these posts to build our list of alternatives and similar projects.

Help needed on picking a suitable value for the Sniper scope sensitivity.
1 project | /r/truetf2 | 27 May 2022
Overly convoluted Loadout switching script
1 project | /r/Tf2Scripts | 9 Jun 2021

Instead of setting tf_respawn_on_loadoutchanges directly, I'd just set it through incrementvar to preserve the original cvar state. More info listed in the jarconfig docs.
Krate VM: A script for native higher level programming in Source
1 project | /r/Tf2Scripts | 13 Feb 2021

I'm not involved with thia project but I did describe some similar internal logic stuff with https://github.com/JarateKing/jarconfig/blob/master/docs/scripting_logic.md

tf-explain

Posts with mentions or reviews of tf-explain. We have used some of these posts to build our list of alternatives and similar projects.

What alternative for explainable AI besides LIME do we have for deep learning models on images (keras)?
1 project | /r/learnmachinelearning | 4 May 2022

Have look at tf-explain and why not shap Shap?

What are some alternatives?

When comparing jarconfig and tf-explain you can also consider the following projects:

Swin-Transformer-Tensorflow - Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)

CleanTF2plus - Clean TF2's sequel

mastercomfig - A modern customization framework for Team Fortress 2

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Fast-SRGAN - A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

pytest-visual - A visual testing framework for ML with automated change detection

scalu - scalu is an event-based programming language and compiler targeting config files in Valve's Source Engine

nhcustom - nhcustom is a program whose purpose is to modify the Team Fortress 2 mod "no-hats-bgum".

tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

tfops-aug - TFOps-Aug: Implementation of policy-based image augmentation techniques based on TF2 Operations. All augmentations as efficient Tensorflow 2.11.0 operations. Easy integration into a tf.data API pipeline.