get-started-with-JAX VS JustEnoughScalaForSpark

Compare get-started-with-JAX vs JustEnoughScalaForSpark 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)

JustEnoughScalaForSpark

A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs. (by deanwampler)
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get-started-with-JAX JustEnoughScalaForSpark
3 2
558 673
- -
0.0 0.0
5 months ago almost 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.

JustEnoughScalaForSpark

Posts with mentions or reviews of JustEnoughScalaForSpark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-03.

What are some alternatives?

When comparing get-started-with-JAX and JustEnoughScalaForSpark 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.

beakerx - Beaker Extensions for Jupyter Notebook

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

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

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

intro-to-python - [READ-ONLY MIRROR] An intro to Python & programming for wanna-be data scientists

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

ipp - An intro to Python & programming for wanna-be data scientists [Moved to: https://github.com/webartifex/intro-to-python]

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

ammonite-spark - Run spark calculations from Ammonite

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.

BigDL - Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, etc.