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 ;)
☆27,530Updated 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☆9,079Updated this week
- A python tutorial on bayesian modeling techniques (PyMC3)☆2,504Updated 8 years ago
- Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)☆11,317Updated 3 years ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆9,927Updated last month
- A curated list of data science blogs☆6,358Updated last year
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,294Updated last year
- Deep universal probabilistic programming with Python and PyTorch☆8,803Updated 2 months ago
- Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.☆19,331Updated 3 weeks ago
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆24,614Updated last year
- Python Data Science Handbook: full text in Jupyter Notebooks☆44,799Updated last year
- machine learning and deep learning tutorials, articles and other resources☆16,313Updated last year
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆18,649Updated 3 weeks ago
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆27,048Updated this week
- Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-m…☆15,232Updated 5 years ago
- Oxford Deep NLP 2017 course☆15,850Updated last year
- Statsmodels: statistical modeling and econometrics in Python☆10,756Updated this week
- The most cited deep learning papers☆25,875Updated last year
- TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)☆43,664Updated 11 months ago
- Visualizations for machine learning datasets☆7,376Updated 2 years ago
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,365Updated 8 months ago
- This repository is no longer maintained.☆15,401Updated 5 years ago
- An open source python library for automated feature engineering☆7,472Updated last week
- Declarative visualization library for Python☆9,851Updated 3 weeks ago
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,442Updated 7 months ago
- TensorFlow - A curated list of dedicated resources http://tensorflow.org☆17,360Updated 3 months ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,837Updated last year
- Python programs, usually short, of considerable difficulty, to perfect particular skills.☆23,898Updated 3 weeks ago
- this repository accompanies the book "Grokking Deep Learning"☆7,595Updated last year
- Classical equations and diagrams in machine learning☆7,751Updated 10 months ago
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,358Updated 4 years ago