TrainYourOwnYOLO VS simfin-tutorials

Compare TrainYourOwnYOLO vs simfin-tutorials and see what are their differences.

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TrainYourOwnYOLO simfin-tutorials
1 8
635 247
- 0.8%
0.0 1.9
over 1 year ago 12 months ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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.

simfin-tutorials

Posts with mentions or reviews of simfin-tutorials. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-22.

What are some alternatives?

When comparing TrainYourOwnYOLO and simfin-tutorials 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

PRML - PRML algorithms implemented in Python

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

Julia-on-Colab - Notebook for running Julia on Google Colab

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

FinMind - Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主),每天更新 https://finmind.github.io/

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

simfin - Simple financial data for Python

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

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.

CleanTF2plus - Clean TF2's sequel

TACO - 🌮 Trash Annotations in Context Dataset Toolkit