get-started-with-JAX VS reinforcement_learning_course_materials

Compare get-started-with-JAX vs reinforcement_learning_course_materials 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
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reinforcement_learning_course_materials

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University (by upb-lea)
reinforcement-learning Control Teaching teaching-materials Python Latex Prediction Machine Learning Course course-materials online-videos online-learning Tutorial lecture lecture-notes open-educational-resources open-education-resources open-education Jupyter jupyter-notebooks
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get-started-with-JAX reinforcement_learning_course_materials
3 1
558 902
- 0.4%
0.0 8.3
5 months ago 8 days 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.

reinforcement_learning_course_materials

Posts with mentions or reviews of reinforcement_learning_course_materials. 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 reinforcement_learning_course_materials 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.

ML-Prediction-LoL - In this project I implemented two machine learning algorithms to predicts the outcome of a League of Legends game.

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

learn-monogame.github.io - Documentation to learn MonoGame from the ground up.

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

BestPractices - Things that you should (and should not) do in your Materials Informatics research.

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

human-memory - Course materials for Dartmouth course: Human Memory (PSYC 51.09)

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

LlamaIndex-course - Learn to build and deploy AI apps.

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

gds_env - A containerised platform for Geographic Data Science

get-started-with-JAX vs Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning reinforcement_learning_course_materials vs ML-Prediction-LoL get-started-with-JAX vs ydata-profiling reinforcement_learning_course_materials vs learn-monogame.github.io get-started-with-JAX vs awesome-jax reinforcement_learning_course_materials vs BestPractices get-started-with-JAX vs Human-pose-estimation reinforcement_learning_course_materials vs human-memory get-started-with-JAX vs JustEnoughScalaForSpark reinforcement_learning_course_materials vs LlamaIndex-course get-started-with-JAX vs TF_JAX_tutorials reinforcement_learning_course_materials vs gds_env