bgeils

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

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 ;)

tinygrad

You like pytorch? You like micrograd? You love tinygrad! ❤️

xyflow

React Flow | Svelte Flow - Powerful open source libraries for building node-based UIs with React (https://reactflow.dev) or Svelte (https://svelteflow.dev). Ready out-of-the-box and infinitely customizable.

pymc

Bayesian Modeling and Probabilistic Programming in Python

Dreambooth-Stable-Diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

clasp

🔗 Command Line Apps Script Projects

torchscale

Foundation Architecture for (M)LLMs

pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

diplomacy_cicero

Code for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.

bambi

BAyesian Model-Building Interface (Bambi) in Python.

mui-toolpad

Toolpad: Full stack components and low-code builder for dashboards and internal apps.

lightweight_mmm

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

dbt-ga4

dbt Package for modeling raw data exported by Google Analytics 4. BigQuery support, only.

dbt_metrics

Macros for calculating metrics

dbt-ml-preprocessing

A SQL port of python's scikit-learn preprocessing module, provided as cross-database dbt macros.

TyXe

TVLT

PyTorch code for “TVLT: Textless Vision-Language Transformer” (NeurIPS 2022 Oral)

fsner

Few-shot Named Entity Recognition

pycid

Library for graphical models of decision making, based on pgmpy and networkx

rba

quantum-fog

Python tools for analyzing both classical and quantum Bayesian Networks

mamimo

A package to compute a marketing mix model.

CausalEGM

A General Causal Inference Framework by Encoding Generative Modeling

judgyprophet

Forecasting for knowable future events using Bayesian informative priors (forecasting with judgmental-adjustment).

dbt-privacy

Package of macros for dbt to make it easier to protect your customers' data

swot

Identify email addresses or domains names that belong to colleges or universities. Help automate the process of approving or rejecting academic discounts.

CT4Recognition

dbt-models-metadata

Extension package for dbt to build a metadata table for your dbt models along side your models.

pybnl

python interface to bnlearn and other probabilistic graphical model libraries