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Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
AI agents running research on single-GPU nanochat training automatically
adanvr / python-pdk
Forked from Personaut/python-pdkPersonaut PDK — A Python SDK for creating and simulating AI personas with emotional states, personality traits, and memory
The home for Empathetic Development tools in VS Code. Personaut is an open-source collective dedicated to bridging the gap between code and genuine user emotion. We build tools that integrate real-…
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Statistical Rethinking Course Winter 2020/2021
Links to slides for rstudio::conf 2020
Building an HTML Widget, a demonstration
Code and Resources for "Applied Machine Learning"
⚡ JavaScript for Shiny Users ✨
R package for easy creation of GNU Makefiles to aid a reproducible work flow for data analysis projects.
COVAIL / electron-quick-start
Forked from electron/minimal-reproClone to try a simple Electron app
My talk (and code) for #rstatsdc 2018 conference
PyCon 2019 Pandas Tutorial
Slide, code and data for "Applied Machine Learning" at Rstudio-conf 2019
Examples and work from Problem Solving with Algorithms and Data Structures Using Python
Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019
Methods for subgroup identification / personalized medicine / individualized treatment rules
🌙🦉 An RStudio, tmThemes, and Ace editor adaptation of @sdras' Night Owl VS Code theme…
Render reproducible examples of Python code for posting to GitHub or Stack Overflow (port of R package reprex)
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Package for managing conda environment-based kernels inside of Jupyter
"What They Forgot to Teach You About R" website / eBook
CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017