Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab

Pure Python/Numpy Bayesian Filtering and Smoothing

Automated, smooth, N'th order derivatives of non-uniformly sampled time series data

A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.

SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.

Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app

real time face swap and one-click video deepfake with only a single image

Gaussian processes framework in python

Kalman Filter, Smoother, and EM Algorithm for Python

ML models + benchmark for tabular data classification and regression

Steps to scrape data, create ML models and visualize in a single draft board for NCAA prospects

Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.

Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks.This framework enables Claud…

Cross-validation methods for time-series data in Python

computer vision and sports

cuML - RAPIDS Machine Learning Library

Adjusted Plus Minus Models for WNBA players from the 2019 season. Adjusted Plus Minus (APM) and Regularized Adjusted Plus Minus (RAPM) models were fit providing an all in one player value metric fo…

NBA player play type data from 2015-2024.

Kullback-Leibler projections for Bayesian model selection in Python

13F analyzer which removes options holdings

👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.

Python implementation of binary and multi-class Venn-ABERS calibration

NBA play-by-play data with several use cases