reinforcement_learning_course_materials
JustEnoughScalaForSpark
| reinforcement_learning_course_materials | JustEnoughScalaForSpark | |
|---|---|---|
| 1 | 2 | |
| 902 | 673 | |
| 0.4% | - | |
| 8.3 | 0.0 | |
| 12 days ago | almost 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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reinforcement_learning_course_materials
JustEnoughScalaForSpark
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Which tutorial to learn functional programming without going in depth ?
- https://github.com/deanwampler/JustEnoughScalaForSpark
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Learning Spark Scala: I'm a medium Python Data Engineer with some experience in Java. I have to learn "enough" Scala to be at ease with Spark's Scala API. I have three weeks. Where should I start ?
There's literally something called, "Just enough Scala for Spark." https://github.com/deanwampler/JustEnoughScalaForSpark
What are some alternatives?
ML-Prediction-LoL - In this project I implemented two machine learning algorithms to predicts the outcome of a League of Legends game.
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.
learn-monogame.github.io - Documentation to learn MonoGame from the ground up.
beakerx - Beaker Extensions for Jupyter Notebook
BestPractices - Things that you should (and should not) do in your Materials Informatics research.
intro-to-python - [READ-ONLY MIRROR] An intro to Python & programming for wanna-be data scientists
human-memory - Course materials for Dartmouth course: Human Memory (PSYC 51.09)
ipp - An intro to Python & programming for wanna-be data scientists [Moved to: https://github.com/webartifex/intro-to-python]
LlamaIndex-course - Learn to build and deploy AI apps.
ammonite-spark - Run spark calculations from Ammonite
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.