Duane321

streamlit

Streamlit — A faster way to build and share data apps.

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 ;)

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

BentoML

The easiest way to serve AI apps and models - Build reliable Inference APIs, LLM apps, Multi-model chains, RAG service, and much more!

axolotl

Go ahead and axolotl questions

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

lit-llama

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

ReAgent

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

awesome-causality-algorithms

An index of algorithms for learning causality with data

Data-science-best-resources

Carefully curated resource links for data science in one place

python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Pearl

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

lifelines

Survival analysis in Python

pymc-resources

PyMC educational resources

WeightWatcher

The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

awesome-causal-inference

A curated list of causal inference libraries, resources, and applications.

sammo

A library for prompt engineering and optimization (SAMMO = Structure-aware Multi-Objective Metaprompt Optimization)

MyDataSciencePortfolio

Applying Data Science and Machine Learning to Solve Real World Business Problems

pysurvival

Open source package for Survival Analysis modeling

lineax

Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax

posteriors

Uncertainty quantification with PyTorch

optimistix

Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/

pymc-examples

Examples of PyMC models, including a library of Jupyter notebooks.

statistical-rethinking-2023

Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.

ML-news-of-the-week

A collection of the the best ML and AI news every week (research, news, resources)

pymc-experimental

RandBLAS

A header-only C++ library for sketching in randomized linear algebra

RandLAPACK

A high-performance C++ library for randomized numerical linear algebra

longbet

reinforcement_learning_for_rideshare_pricing