Stars
A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.
The fastest way to create an HTML app
Using Dask, a Python framework, I handle 900 million rows of S&P E-mini futures trade tick data directly on a local machine. Through exploratory data analysis, continuous series creation, and bar s…
The official PyTorch implementation of Google's Gemma models
Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization
A library to create lore plots (logistic regression of the prevalence of a categorical variable in function of a continuous feature)
Feature engineering package with sklearn like functionality
Spellchecker for JupyterLab notebook markdown cells and file editor.
Python library for portfolio optimization built on top of scikit-learn
A guidance language for controlling large language models.
An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.
Materials for PyCon 2017 presentation on optimizing Pandas code
Run Mixtral-8x7B models in Colab or consumer desktops
New ways of breaking app-integrated LLMs
A project that analyses recent carbon emissions worldwide
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Python training for business analysts and traders
CrunchDAO official repository for public notebooks and collaboration
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"
Friends don't let friends make certain types of data visualization - What are they and why are they bad.