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Discover 61 open source projects
Showing 1-20 of 61 projects
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
Bayesian methods and probabilistic programming in Python with PyMC
rlabbe/Kalman-and-Bayesian-Filters-in-Python
A comprehensive tutorial on Kalman filters, extended Kalman filters, and more using Jupyter Notebooks.
ddbourgin/numpy-ml
A comprehensive machine learning library in Python with implementations of various algorithms and models.
microsoft/nni
An open-source AutoML toolkit for automating the machine learning lifecycle, including feature engineering, neural architecture search, and hyperparameter tuning.
kmario23/deep-learning-drizzle
A comprehensive collection of deep learning, reinforcement learning, and machine learning resources for vibe coders.
pymc-devs/pymc
A powerful Bayesian modeling and probabilistic programming library for Python developers.
pyro-ppl/pyro
A deep universal probabilistic programming library for Python and PyTorch, enabling Bayesian machine learning.
bayesian-optimization/BayesianOptimization
A Python library for global optimization using Gaussian processes, useful for AI/ML developers.
automl/auto-sklearn
Automated Machine Learning with scikit-learn
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions.
MingchaoZhu/DeepLearning
This Python repository provides a deep dive into the math, principles, and code behind the 'Deep Learning' book, a.k.a. the 'Deep Learning Bible'.
blei-lab/edward
Edward is a probabilistic programming language in TensorFlow for deep generative models and variational inference.
BoltzmannEntropy/interviews.ai
This repository provides interview preparation resources for AI and machine learning developers.
tensorflow/probability
Probabilistic reasoning and statistical analysis tools built on TensorFlow for data scientists and ML researchers.
rlabbe/filterpy
Python library for Kalman filtering and optimal estimation algorithms.
meta-pytorch/botorch
A PyTorch library for Bayesian optimization, a powerful tool for machine learning model tuning and optimization.
pgmpy/pgmpy
Python library for Causal AI and Bayesian networks
afshinea/stanford-cs-221-artificial-intelligence
A comprehensive set of cheatsheets for Stanford's CS 221 Artificial Intelligence course.
stan-dev/stan
An open-source C++ library for Bayesian inference and data analysis using Markov Chain Monte Carlo (MCMC) methods.
huawei-noah/HEBO
Bayesian optimization & Reinforcement Learning library for AI/ML developers from Huawei Noah's Ark Lab
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