ChristosChristofidis / 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 ;)
☆24Updated 10 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
Sorting:
- A awesome list of (large-scale) public datasets on the Internet. (On-going collection)☆88Updated 10 years ago
- List of awesome university courses for learning Computer Science!☆58Updated 10 years ago
- Learn machine learning for free, because free is better than not-free.☆53Updated 6 years ago
- Rough working notes on neural networks☆46Updated 11 years ago
- Papers from the computer science community to read and discuss.☆26Updated 10 years ago
- List of books and other resources that are related to deep learning☆66Updated 5 years ago
- Summaries and notes on Deep Learning research papers☆32Updated 9 years ago
- Oxford Deep NLP 2017 course - Open practical☆99Updated 8 years ago
- A compiled list of kaggle competitions and their winning solutions for image problems.☆54Updated 9 years ago
- Crowd Course Data Science course project☆27Updated 9 years ago
- The overall objective of this toolkit is to provide and offer a free collection of data analysis and machine learning that is specificall…☆112Updated 7 years ago
- A collection of some awesome infographics I have come across.☆31Updated 7 years ago
- Analysis & Implementation of deep learning papers☆12Updated 7 years ago
- A public wiki for the deep learning reading group at UC Berkeley☆27Updated 9 years ago
- Curated list to learn the math basics for machine learning☆254Updated 7 years ago
- Collection of PyTorch-related utility functions☆29Updated 6 years ago
- Code accompanying the book "Machine Learning for Hackers"☆78Updated 10 years ago
- Code examples for my Interpretable Machine Learning Blog Series☆57Updated 5 years ago
- Common Code Workflow tutorial on Theano☆28Updated 11 years ago
- A curated list of resources dedicated to bridge between Cognitive Science and Deep Learning☆79Updated 8 years ago
- Learn machine learning for free, because free is better than not-free.☆228Updated 5 years ago
- A research into the workflow for Kaggle competition (and data science in general) collaboratively☆48Updated 8 years ago
- The machine learning library you really understand.☆31Updated last year
- Collection of cheatsheets for data science, machine learning and deep learning :).☆53Updated 8 years ago
- Very basic introduction to pyspark☆15Updated 8 years ago
- A curated list of awesome datasets for papers/experiments/validation.☆92Updated 9 years ago
- Implementations of popular deep learning models in Theano+Lasagne☆24Updated 8 years ago
- Code for O'Reilly's "A Short Course on TensorFlow"☆104Updated 8 years ago
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 8 years ago
- Deep Learning Bootcamp☆67Updated 6 years ago