Elmar24's Stars
mtdvio/every-programmer-should-know
A collection of (mostly) technical things every software developer should know about
k88hudson/git-flight-rules
Flight rules for git
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
kuchin/awesome-cto
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
withfig/autocomplete
IDE-style autocomplete for your existing terminal & shell
drduh/macOS-Security-and-Privacy-Guide
Guide to securing and improving privacy on macOS
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
microsoft/IoT-For-Beginners
12 Weeks, 24 Lessons, IoT for All!
Python-World/python-mini-projects
A collection of simple python mini projects to enhance your python skills
nahamsec/Resources-for-Beginner-Bug-Bounty-Hunters
A list of resources for those interested in getting started in bug bounties
dair-ai/ML-Papers-of-the-Week
🔥Highlighting the top ML papers every week.
activeloopai/deeplake
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
dair-ai/ML-Papers-Explained
Explanation to key concepts in ML
therealsreehari/Learn-Data-Science-For-Free
This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science.
dair-ai/Mathematics-for-ML
🧮 A collection of resources to learn mathematics for machine learning
anushka23g/Complete-Placement-Preparation
This repository consists of all the material required for cracking the coding rounds and technical interviews during placements.
patrickloeber/ml-study-plan
The Ultimate FREE Machine Learning Study Plan
Machine-Learning-Tokyo/Interactive_Tools
Interactive Tools for Machine Learning, Deep Learning and Math
jalammar/ecco
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).
erikgahner/awesome-ggplot2
A curated list of awesome ggplot2 tutorials, packages etc.
mossr/BeautifulAlgorithms.jl
Concise and beautiful algorithms written in Julia
saviomartin/codehouse
A whole new world of 300+ developer cheatsheets
mlr-org/mlr3
mlr3: Machine Learning in R - next generation
ReeceGoding/Frustration-One-Year-With-R
An extremely long review of R.
mkhan45/CalcuLaTeX
A pretty printing calculator language with support for units. Makes calculations easier and more presentable with real time LaTeX output, along with support for units, variables, and mathematical functions.
RamiKrispin/awesome-ds-setting
A tutorial for setting a new machine with core data science tools
Joscelinrocha/resouRces
Here you can find a list of resources that have and continue helping me in my process of learning/ teaching R.
revodavid/copilot-for-r
Copilot for R, a supporting repository for a presentation
oliviergimenez/tidyverse-tips
Tidy notes I took from Dave Robinson's screencasts #TidyTuesday
USCSchaefferCenterDataCore/Chronic-Conditions-Package