kuleshov / cs228-notes
Lecture notes on probabilistic graphical modeling, based on Stanford CS228 (work in progress!)
☆31Updated 7 years ago
Alternatives and similar repositories for cs228-notes:
Users that are interested in cs228-notes are comparing it to the libraries listed below
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 7 years ago
- Repository for practical assignments for UvA Deep Learning Course 2016☆51Updated 7 years ago
- Code for the Kaggle acquire valued shoppers challenge☆66Updated 10 years ago
- Tutorial teaching the basics of Keras and some deep learning concepts☆104Updated 8 years ago
- Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017☆79Updated 7 years ago
- Code for O'Reilly's "A Short Course on TensorFlow"☆103Updated 7 years ago
- Understanding Probabilistic Topic Models with Simulation in Python☆64Updated 7 years ago
- my solutions for oxford's "deep nlp 2017" practical assignments☆65Updated 7 years ago
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 6 years ago
- 32/2384 Solution to Kaggle Mercari Competition (solo silver medal winner)☆20Updated 6 years ago
- Material for the Montréal Deep Learning Summer School 2017☆77Updated 7 years ago
- Slides for the tutorial talk on Bayesian Machine Learning at PyCon 2017☆11Updated 7 years ago
- ☆26Updated 7 years ago
- Various notebooks and tutorials on subjects of interest.☆36Updated 4 years ago
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 8 years ago
- Some Jupyter notebooks based on Bishop's "Pattern Recognition and Machine Learning" book☆76Updated 5 years ago
- ☆66Updated last year
- Code repository for Large Scale Machine Learning with Python, published by Packt☆90Updated 2 years ago
- STATS385 course website☆89Updated 2 years ago
- Kaggle competition results☆20Updated 6 years ago
- A curated list of data science blogs☆21Updated 9 years ago
- ☆78Updated 8 years ago
- Advanced Scikit-learn training session☆118Updated 8 years ago
- Introduction to Python for Data Science☆39Updated 7 years ago
- code for pydata madrid presentation☆53Updated 8 years ago
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 8 years ago
- Practical Deep Learning for Coders (fast.ai courses)☆35Updated 6 years ago
- Python notebooks for demonstrating various ideas, APIs, libraries.☆32Updated 7 years ago
- Second-ranked solution to the Kaggle "Flavours of Physics" competition☆25Updated 9 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆162Updated 9 years ago