ChristosChristofidis / Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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 ;)
☆23Updated 9 years ago
Related projects: ⓘ
- List of awesome university courses for learning Computer Science!☆56Updated 9 years ago
- Learn machine learning for free, because free is better than not-free.☆50Updated 5 years ago
- Papers from the computer science community to read and discuss.☆26Updated 9 years ago
- A awesome list of (large-scale) public datasets on the Internet. (On-going collection)☆82Updated 9 years ago
- Summaries and notes on Deep Learning research papers☆32Updated 8 years ago
- Common Code Workflow tutorial on Theano☆28Updated 10 years ago
- Collection of PyTorch-related utility functions☆28Updated 5 years ago
- Collection of cheatsheets for data science, machine learning and deep learning :).☆54Updated 7 years ago
- A curated list of awesome Machine Learning frameworks, libraries and software.☆30Updated 8 years ago
- Collection of lectures and talks I've given on Computer Vision and Deep Learning☆28Updated 6 years ago
- Analysis & Implementation of deep learning papers☆11Updated 6 years ago
- The Art of Data Science☆34Updated 5 years ago
- Notes for Data Science 350 Class☆23Updated 7 years ago
- Code accompanying the book "Machine Learning for Hackers"☆72Updated 9 years ago
- Teaching materials for the text analytics course☆18Updated 6 years ago
- Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).☆148Updated 6 years ago
- ☆42Updated this week
- ☆30Updated this week
- Applied Machine Learning @ http://amitkaps.com/ml☆37Updated 5 years ago
- Repository for code used in Kaggle competitions.☆22Updated 5 years ago
- Unsupervised Deep Learning and Representation Learning Tutorial☆13Updated 8 years ago
- This library is a wrapper for sklearn and works with data stored using Pandas module.☆17Updated 8 years ago
- These will be public notes for courses that I'm self-studying.☆26Updated 4 years ago
- Trying to apply deep learning to music analysis☆12Updated 7 years ago
- Kaggle competition : Code and Solutions☆17Updated 7 years ago
- 🌍 Configuration files for Jupyter features.☆8Updated 5 years ago
- Very basic introduction to pyspark☆15Updated 7 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆79Updated 7 years ago
- A open source book covering the foundational maths of deep learning and machine learning using TensorFlow☆33Updated 5 years ago
- 🔥 Introductory PyTorch tutorials with OReilly Media.☆56Updated 2 years ago