mtkwT's Stars
pymc-devs/nutpie
Python wrapper for nuts-rs
pymc-labs/pymc-marketing
Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
victoryhb/streamlit-option-menu
streamlit-option-menu is a simple Streamlit component that allows users to select a single item from a list of options in a menu.
ghmagazine/cfml_book
sibylhe/mmm_stan
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
pallets/click
Python composable command line interface toolkit
Delgan/loguru
Python logging made (stupidly) simple
PyO3/maturin
Build and publish crates with pyo3, cffi and uniffi bindings as well as rust binaries as python packages
google/latexify_py
A library to generate LaTeX expression from Python code.
openai/openai-cookbook
Examples and guides for using the OpenAI API
stan-dev/shinystan
shinystan R package and ShinyStan GUI
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
antimatter15/alpaca.cpp
Locally run an Instruction-Tuned Chat-Style LLM
microsoft/waterfall_ax
Create waterfall charts with matplotlib
MatsuuraKentaro/RStanBook
『StanとRでベイズ統計モデリング』のサポートページです.
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
tshino/vscode-dynamic-macro
VS CodeでDynamic Macroという機能を実現する拡張機能です
magenta/magenta
Magenta: Music and Art Generation with Machine Intelligence
lucidrains/PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
PRQL/prql
PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
getredash/redash-toolbelt
API client and utilities to manage a Redash instance
tmknom/example-pragmatic-terraform
『実践Terraform』のサンプルコード
microsoft/api-guidelines
Microsoft REST API Guidelines
NickCH-K/CausalitySlides
Slides for the Seattle University Causal Inference Class
NickCH-K/EconometricsSlides
This is the repository for the slides used in the Seattle University Econometrics course
google/clasp
🔗 Command Line Apps Script Projects
google/lightweight_mmm
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
jupyter/docker-stacks
Ready-to-run Docker images containing Jupyter applications
emk/rust-musl-builder
Docker images for compiling static Rust binaries using musl-libc and musl-gcc, with static versions of useful C libraries. Supports openssl and diesel crates.