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 ;)
☆28,166Jun 25, 2024Updated 2 years ago
Alternatives and similar repositories for Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
Users that are interested in Probabilistic-Programming-and-Bayesian-Methods-for-Hackers are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Bayesian Modeling and Probabilistic Programming in Python☆9,660Jun 29, 2026Updated last week
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆29,206Mar 20, 2024Updated 2 years ago
- Deep universal probabilistic programming with Python and PyTorch☆9,016Jun 5, 2026Updated last month
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,841Mar 18, 2024Updated 2 years ago
- A python tutorial on bayesian modeling techniques (PyMC3)☆2,503Apr 29, 2017Updated 9 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Python Data Science Handbook: full text in Jupyter Notebooks☆48,782Jun 26, 2024Updated 2 years ago
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,420May 12, 2026Updated last month
- A curated list of awesome Machine Learning frameworks, libraries and software.☆73,204Jun 18, 2026Updated 2 weeks ago
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,616Nov 20, 2024Updated last year
- Deep Learning for humans☆64,102Jun 28, 2026Updated last week
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆28,509Jun 29, 2026Updated last week
- PyMC educational resources☆2,097Dec 23, 2024Updated last year
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,908Apr 16, 2024Updated 2 years ago
- The most cited deep learning papers☆26,160Jan 18, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!☆39,525Nov 27, 2022Updated 3 years ago
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,742Jul 26, 2024Updated last year
- Oxford Deep NLP 2017 course☆15,853Jul 2, 2023Updated 3 years ago
- scikit-learn: machine learning in Python☆66,614Updated this week
- A game theoretic approach to explain the output of any machine learning model.☆25,563Jun 22, 2026Updated 2 weeks ago
- Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,exte…☆19,090Aug 7, 2024Updated last year
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.☆25,601May 19, 2026Updated last month
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,046Sep 11, 2025Updated 9 months ago
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆31,986Oct 15, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Python programs, usually short, of considerable difficulty, to perfect particular skills.☆24,360Jun 26, 2026Updated last week
- Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke☆901Jul 16, 2021Updated 4 years ago
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆22,061Jul 13, 2023Updated 2 years ago
- The fastai deep learning library☆28,062Jun 29, 2026Updated last week
- Statsmodels: statistical modeling and econometrics in Python☆11,489Jun 27, 2026Updated last week
- A topic-centric list of HQ open datasets.☆76,125Jun 24, 2026Updated last week
- Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.☆20,278May 8, 2026Updated last month
- Models and examples built with TensorFlow☆77,671Jun 19, 2026Updated 2 weeks ago
- TensorFlow - A curated list of dedicated resources http://tensorflow.org☆17,540Feb 8, 2026Updated 4 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Automatic extraction of relevant features from time series:☆9,264Jun 8, 2026Updated 3 weeks ago
- 💫 Industrial-strength Natural Language Processing (NLP) in Python☆33,708May 19, 2026Updated last month
- Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allredu…☆8,684May 8, 2026Updated last month
- An Open Source Machine Learning Framework for Everyone☆196,106Jun 29, 2026Updated last week
- Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)☆11,395Jun 17, 2022Updated 4 years ago
- Lime: Explaining the predictions of any machine learning classifier☆12,148Jul 25, 2024Updated last year
- Minimal and clean examples of machine learning algorithms implementations☆10,988May 7, 2026Updated last month