Algorithms-for-Automated-Driving
get-started-with-JAX
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2 | 3 | |
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4.0 | 0.0 | |
about 1 year ago | 6 months ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 or later | MIT License |
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Algorithms-for-Automated-Driving
- Want to make a simple DIY openpilot-like self driving agent from scratch ? This free book will help you get started.
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Build your own self driving software in this course
Hey u/Karan32 ! So awesome that you finished the course! Good point regarding contributions! I added a conversation on "GitHub discussions" about this. If you would be willing to contribute, that would be amazing. I checked your GitHub and medium profile and it looks like you are doing cool stuff with Carla!
get-started-with-JAX
- How to stay up-to-date with the latest AI company announcements and events?
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Tips to become self taught machine learning engineer
The AI Epiphany
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Machine Learning with JAX - From Hero to HeroPro+ | Tutorial #2
Code: https://github.com/gordicaleksa/get-started-with-JAX
What are some alternatives?
jetson - Self-driving AI toy car 🤖🚗.
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.
cocp - Source code for the examples accompanying the paper "Learning convex optimization control policies."
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
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