nipunbatra / pml-teachingLinks
☆24Updated last year
Alternatives and similar repositories for pml-teaching
Users that are interested in pml-teaching are comparing it to the libraries listed below
Sorting:
- ☆151Updated 3 years ago
- Statistical Inference Course☆43Updated 8 months ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆286Updated 4 years ago
- Lightning Bits: Engineering for Researchers repo☆132Updated 3 years ago
- Lecture Notes on Statistical Inference☆76Updated 10 months ago
- Notebooks for a course☆40Updated 5 years ago
- Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al☆53Updated 2 years ago
- ☆107Updated last year
- ML algorithms in depth☆256Updated 11 months ago
- Essential mathematics for applied machine learning and data science☆76Updated 3 years ago
- DS-GA 1013 Mathematical Tools for Data Science☆52Updated 4 years ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆94Updated last year
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆102Updated 2 years ago
- ☆202Updated last week
- Course material for 1RT700 Statistical Machine Learning☆62Updated 7 months ago
- Material for my course: Optimization in Machine Learning☆32Updated 4 years ago
- A curated list of awesome fastai projects/blog posts/tutorials/etc.☆174Updated 3 years ago
- Kaggle Pipeline for tabular data competitions☆206Updated last year
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆113Updated 5 months ago
- Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques☆77Updated 7 months ago
- Forecasting: Principles and Practice☆61Updated 4 years ago
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 3 years ago
- Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition☆74Updated 6 years ago
- Deep Learning Fundamentals -- Code material and exercises☆397Updated last year
- DRL university course lecture notes & exercises☆86Updated 2 years ago
- Applied Machine Learning with Python☆80Updated last year
- Applied Machine Learning Explainability Techniques, published by Packt☆246Updated last week
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆88Updated 6 years ago
- The Orange Book of Machine Learning☆49Updated last week
- Small Dataset Benchmarks on the Dataset of Datasets UCI++☆87Updated 3 years ago