Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning VS get-started-with-JAX

Compare Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning vs get-started-with-JAX and see what are their differences.

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. (by alen-smajic)

get-started-with-JAX

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem. (by gordicaleksa)
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Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning get-started-with-JAX
8 3
57 557
- -
3.6 0.0
about 3 years ago 5 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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get-started-with-JAX

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

What are some alternatives?

When comparing Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning and get-started-with-JAX you can also consider the following projects:

yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

awesome-jax - JAX - A curated list of resources https://github.com/google/jax

simple-faster-rcnn-pytorch - A simplified implemention of Faster R-CNN that replicate performance from origin paper

Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.

lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

JustEnoughScalaForSpark - A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

NYU-DLSP20 - NYU Deep Learning Spring 2020

TF_JAX_tutorials - All about the fundamental blocks of TF and JAX!

Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)

tensor-sensor - The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.