applied-ml
thefuck
applied-ml | thefuck | |
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13 | 305 | |
25,984 | 82,883 | |
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3.0 | 4.2 | |
5 days ago | 7 days ago | |
Python | ||
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
applied-ml
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[D] Favorite ML Youtube Channels/Blogs/Newsletters
Also, have any of you stumbled across any cool GitHub repos like this one: https://github.com/eugeneyan/applied-ml ?
- Curated Papers on Machine Learning in Production
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Top Github repo trends in 2021
The second repo I LOVE is Eugene Yan’s Applied ML repository. This is a brilliant idea to create and actually something I was planning on sort of casually doing in my non-existent free time… Anyhow, it is a curated list of technical posts from top engineering teams (Netflix, Amazon, Pinterest, Linkedin, etc.) detailing how they built out different types of AI/ML systems (e.g. forecasting, recommenders, search and ranking, etc.). Ofc, it focuses on AI/ML, but something similar could be made for the traditional or BI-oriented analytics stack, as well as the streaming world, super high value for practitioners! Btw-one of my favorite things at BCG used to be looking at our IT architecture team’s reference architecture diagrams… the best way to understand technologies is to look at how a ton of stuff is architected… and its fun!
- Curated papers, articles, & blogs on data science and ML in production
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Messed up my career by pivoting to DS. Wondering if it's too late to switch to MLE
Applied ML: A collection of papers, articles, and blogs on ML in production by different companies (Netflix, Uber, Facebook, LinkedIn, etc)
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[D] A dilemma of an ML guy in industry
Eugene Yan's applied-ml has tons of case studies.
- Papers & tech blogs by companies sharing their work on data science & machine learning in production.
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My information dump for people trying to break into data science/interview notes
https://github.com/eugeneyan/applied-ml You may find some of his links interesting. I would avoid anything that refers to scaling up a platform as these are more backend engr focus. The more relevant posts to you are probably on the scale of blog posts that are product oriented like the ones I listed in section 4 (e.g. we wanted to solve X for our users and this is how we scoped and defined it). The technical aspects should come backseat to the business aspects. There's def a lot of companies/blog posts that he missed, but the internet is huge.
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[D] Can anyone point me to resources/case studies of companies/business creating infrastructure for their data needs?
Check the resources mentioned in applied-ml. It includes blog posts/papers from many companies describing how they built some ML product X.
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What content would be useful to intermediate Data Scientist
Check out this repo. They collect hundreds of case studies, broken down by dozens of methodologies from large real-world companies such as AirBnB, Nvidia, Uber, Netflix etc.
thefuck
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Control Linux based distros using hand gestures using OpenCV, GTK, Mediapipe
Are you by chance interested in a command named after the four-letter word, which automatically fixes and reruns the last command: https://github.com/nvbn/thefuck
- Thefuck: Correct errors in previous console commands
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thefuck VS oh-crab - a user suggested alternative
2 projects | 5 Jan 2024
- Milyen hasznos Github repokat ismertek?
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Code and Chill Guide 2023
With a good terminal, you can work 2-4 times faster. This will save time and reduced your errors. You can also use fuck (just like how you swear most of the time) to correct errors easily.
- Thefuck: Correct Your Previous Console Command
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Proof of Concept: Local LLM to execute terminal comands (Here GPT-2)
Now I want a thefuck implementation via uncensored LLMs.
- better than admitting I'm too too lazy to correct the command
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How to start a Go project in 2023
>spellcheck on commands
I prefer to just type "fuck":
https://github.com/nvbn/thefuck
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What's everyone working on this week (21/2023)?
I am starting to learn Rust and I am starting to implement the fuck CLI tool in Rust. Do you think this is a good use of my learning time?
What are some alternatives?
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ohmyzsh - 🙃 A delightful community-driven (with 2,300+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
awesome-ml-blogs - Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps
httpie - 🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
machine-learning-roadmap - A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
fish-shell - The user-friendly command line shell.
Cookbook - The Data Engineering Cookbook
howdoi - instant coding answers via the command line
ml-surveys - 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
aws-cli - Universal Command Line Interface for Amazon Web Services
pipebase - data integration framework
poe-archnemesis-scanner - Tool for Path of Exile game to automatically scan Archemesis inventory and display related information