get-started-with-JAX VS Algorithms-for-Automated-Driving

Compare get-started-with-JAX vs Algorithms-for-Automated-Driving and see what are their differences.

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)
Jax Deep Learning Machine Learning Numpy Xla lax Python Jupyter learn-jax flax Haiku optax Tutorial
Source Code
youtube.com
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Algorithms-for-Automated-Driving

Each chapter of this (mini-)book guides you in programming one important software component for automated driving. (by thomasfermi)
self-driving-car Deep Learning control-systems Jupyter Python Educational
Source Code
thomasfermi.github.io
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get-started-with-JAX Algorithms-for-Automated-Driving
3 2
558 331
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0.0 4.0
5 months ago about 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License GNU General Public License v3.0 or later
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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.

Algorithms-for-Automated-Driving

Posts with mentions or reviews of Algorithms-for-Automated-Driving. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing get-started-with-JAX and Algorithms-for-Automated-Driving you can also consider the following projects:

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.

jetson - Self-driving AI toy car 🤖🚗.

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

cocp - Source code for the examples accompanying the paper "Learning convex optimization control policies."

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

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

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

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

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.

reinforcement_learning_course_materials - Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

tensorflow-nanoGPT - Example how to train GPT-2 (XLA + AMP), export to SavedModel and serve with Tensorflow Serving

uvadlc_notebooks - Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

get-started-with-JAX vs Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning Algorithms-for-Automated-Driving vs jetson get-started-with-JAX vs ydata-profiling Algorithms-for-Automated-Driving vs cocp get-started-with-JAX vs awesome-jax get-started-with-JAX vs Human-pose-estimation get-started-with-JAX vs JustEnoughScalaForSpark get-started-with-JAX vs TF_JAX_tutorials get-started-with-JAX vs tensor-sensor get-started-with-JAX vs reinforcement_learning_course_materials get-started-with-JAX vs tensorflow-nanoGPT get-started-with-JAX vs uvadlc_notebooks