TrainYourOwnYOLO VS CleanTF2plus

Compare TrainYourOwnYOLO vs CleanTF2plus and see what are their differences.

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TrainYourOwnYOLO CleanTF2plus
1 8
635 111
- -
0.0 3.0
over 1 year ago about 2 months ago
Jupyter Notebook Batchfile
GNU General Public License v3.0 or later 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.

TrainYourOwnYOLO

Posts with mentions or reviews of TrainYourOwnYOLO. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-18.

CleanTF2plus

Posts with mentions or reviews of CleanTF2plus. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-17.

What are some alternatives?

When comparing TrainYourOwnYOLO and CleanTF2plus you can also consider the following projects:

SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2 - This repository contains the script and process to create custom SSD Mobilenet model for object detection

ZeesHUD-UnDonored - A stylish and ambitious TF2 HUD project. Modified by Lead/p3tr1ch0r to fix the donator related issues

colabcat - :smiley_cat: Running Hashcat on Google Colab with session backup and restore.

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

pix2seq - Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)

tf-explain - Interpretability Methods for tf.keras models with Tensorflow 2.x

tf2patcher - A patcher for TF2 that allows you to apply full-colored decals.

yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0

super-resolution - Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

seed_rl - SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

YOLOv3-Cloud-Based-Fire-Detection - Custom Object detection using YOLOv3 on the cloud. It is trained to detect Fire in a given frame. It can be largely used for Wildfires, fire accidents, etc.

mastercomfig - A modern customization framework for Team Fortress 2