Gradient-Centralization-TensorFlow VS yolo-tf2

Compare Gradient-Centralization-TensorFlow vs yolo-tf2 and see what are their differences.

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Gradient-Centralization-TensorFlow yolo-tf2
5 1
105 747
- -
0.0 7.6
about 2 years ago almost 2 years ago
Python Python
Apache License 2.0 MIT License
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Gradient-Centralization-TensorFlow

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

yolo-tf2

Posts with mentions or reviews of yolo-tf2. We have used some of these posts to build our list of alternatives and similar projects.
  • How to write a resume for python / ML jobs?
    1 project | /r/learnmachinelearning | 6 Feb 2021
    my most useful project is yolo object detector implementation in tf2 and I'm currently working on 2 other projects, one of which is the implementation of various drl algorithms in tf and the other project will be based on the latter and it's concerned with trading. The rest are more of scripts rather than projects ex: web scraping, file management, programming challenges ...

What are some alternatives?

When comparing Gradient-Centralization-TensorFlow and yolo-tf2 you can also consider the following projects:

guesslang - Detect the programming language of a source code

Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.

DemonRangerOptimizer - Quasi Hyperbolic Rectified DEMON Adam/Amsgrad with AdaMod, Gradient Centralization, Lookahead, iterative averaging and decorrelated Weight Decay

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

EasyMSE - A Python package for generating custom Magic The Gathering cards

Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 - This is a python program using YOLO and OpenCV to detect traffic lights. Works in The Netherlands, possibly other countries

Im2txt - Image captioning ready-to-go inference: show and tell model compatible with Tensorflow r1.9

deepsparse - Sparsity-aware deep learning inference runtime for CPUs

neural-network-scratch - build a neural network to show as a demonstration on inner workings of a neural network

yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

Machine-Learning-Collection - A resource for learning about Machine learning & Deep Learning

FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀