CamDavidsonPilon / Probabilistic-Programming-and-Bayesian-Methods-for-HackersLinks
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 ;)
☆28,257Updated last year
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
Sorting:
- Bayesian Modeling and Probabilistic Programming in Python☆9,363Updated this week
- Deep universal probabilistic programming with Python and PyTorch☆8,905Updated 4 months ago
- Statsmodels: statistical modeling and econometrics in Python☆11,089Updated last week
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,016Updated 2 months ago
- A python tutorial on bayesian modeling techniques (PyMC3)☆2,511Updated 8 years ago
- Minimal and clean examples of machine learning algorithms implementations☆10,924Updated 5 months ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,841Updated last year
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆29,119Updated 2 years ago
- Probabilistic reasoning and statistical analysis in TensorFlow☆4,392Updated last week
- Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-m…☆15,371Updated 6 years ago
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,540Updated 11 months ago
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,650Updated last year
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,684Updated last year
- The probability and statistics cookbook☆2,289Updated 2 years ago
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆27,616Updated this week
- Fast, flexible and easy to use probabilistic modelling in Python.☆3,489Updated 8 months ago
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,189Updated 5 years ago
- Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.☆19,771Updated 3 weeks ago
- Python Data Science Handbook: full text in Jupyter Notebooks☆45,995Updated last year
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,813Updated 5 years ago
- Public facing notes page☆10,679Updated 2 months ago
- Automatic extraction of relevant features from time series:☆9,012Updated 2 months ago
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆6,940Updated last month
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆18,729Updated 5 years ago
- Oxford Deep NLP 2017 course☆15,865Updated 2 years ago
- Deep Learning for humans☆63,553Updated this week
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆17,837Updated this week
- Code repository for Think Bayes.☆1,677Updated 4 years ago
- Automated Machine Learning with scikit-learn☆7,993Updated 3 weeks ago
- Plain python implementations of basic machine learning algorithms☆4,405Updated last year