Grok-Introduction-to-Programming-Python
ludwig
| Grok-Introduction-to-Programming-Python | ludwig | |
|---|---|---|
| 2 | 3 | |
| 0 | 10,827 | |
| - | 0.8% | |
| 7.5 | 9.5 | |
| over 2 years ago | 3 days ago | |
| Python | Python | |
| - | Apache License 2.0 |
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Grok-Introduction-to-Programming-Python
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LuckyPatcher doesn't seem to work for 90+% of the apps
Learn Python. You don't need to know a massive amount, just enough to be able to read the code and have a basic understanding of what is happening. A good place to learn this outside of the class is https://groklearning.com/course/intro-python-1/
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Introduction to Programming (Python) Grok Learning answers.
For anyone taking the Introduction to Programming (Python) course on Grok Learning; the Australian/New Zealand learning platform that is issued by most Public Education as part of IT/DT classes and their respective counterparts. I have recently completed the course and have attached the answers to my GitHub repo. I would advise attempting the questions yourself prior to checking the answers. The answers are sorted by Modules, I do recall there being a repo like this before but I do believe it was privated.
ludwig
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Show HN: Toolkit for LLM Fine-Tuning, Ablating and Testing
This is a great project, little bit similar to https://github.com/ludwig-ai/ludwig, but it includes testing capabilities and ablation.
questions regarding the LLM testing aspect: How extensive is the test coverage for LLM use cases, and what is the current state of this project area? Do you offer any guarantees, or is it considered an open-ended problem?
Would love to see more progress toward this area!
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Python projects with best practices on Github?
Two random examples I found from 30 seconds of googling: Here’s Netflix using it in their crisis management tool, and here’s Uber using it in their deep learning framework.
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Most Frequent 600 Coding Questions on LeetCode
They list themselves all over the internet as an "open source contributor" to Uber, which as far I can tell is based entirely on... reporting that there was an issue with a favicon. To me, it seems like they'll be cheating anybody who employs them based on this, ahem, "experience". And that feels like the tip of the iceberg.
What are some alternatives?
learn oops in python - 📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
nlp-recipes - Natural Language Processing Best Practices & Examples
incremental-reading - Anki add-on providing incremental reading features
data-structures-and-algorithms - Resources that I used to crack some big tech & startups interviews
binarytree - Python Library for Studying Binary Trees
aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
anki - Anki's shared backend and web components, and the Qt frontend
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
ai-deadlines - :alarm_clock: AI conference deadline countdowns
Python_Storage_Tracker - Py Storage Tracker is a cross-platform command line tool using Python to track storage and other system related information.
autonlp - 🤗 AutoNLP: train state-of-the-art natural language processing models and deploy them in a scalable environment automatically