sagnibak / ml-visualizer
Visualizer of the decision boundaries of various ML algorithms, made at Treehacks.
☆38Updated 5 years ago
Alternatives and similar repositories for ml-visualizer:
Users that are interested in ml-visualizer are comparing it to the libraries listed below
- Stanford's CS229 Machine Learning lecture notes compiled into a Tufte-style textbook☆53Updated 3 years ago
- Source code for most of my course notes☆19Updated 3 years ago
- Interface between networkx and manim☆50Updated 3 years ago
- Reinforcement Learning workshop☆18Updated 5 years ago
- ☆95Updated this week
- Example of a Cover letter for AI Residency☆80Updated 5 years ago
- Linear Algebra Fundamentals for Machine Learning☆43Updated 5 years ago
- Material for my course: Optimization in Machine Learning☆31Updated 4 years ago
- Jupyter Notebook for the "Scientific Computing in Python: Introduction to NumPy and Matplotlib" blog article☆45Updated 3 years ago
- David Mackay's book review and problem solvings and own python codes, mathematica files☆56Updated 7 years ago
- Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019☆285Updated 9 months ago
- Parallel Programming with Python Tutorial☆37Updated last year
- Lectures for INFO8004 Advanced Machine Learning, ULiège☆108Updated this week
- ☆78Updated last year
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 2 years ago
- ☆43Updated 2 years ago
- Pool of Resources arranged in proper order to get started with Quantum Computing☆28Updated 5 years ago
- Notes on Deep Learning textbook by Ian Goodfellow, Yoshua Bengio and Aaron Courville☆63Updated 6 years ago
- Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…☆54Updated 4 years ago
- This is a question bank for practicing Machine Learning for Interviews.☆33Updated 2 years ago
- Python implementations of the RL algorithms in examples and figures in Sutton & Barto, Reinforcement Learning: An Introduction☆86Updated 6 years ago
- Files related to my Summer of Science Report on Nonlinear Dynamics☆10Updated last year
- Notes and solutions for learning machine learning.☆33Updated last year
- Math notes from my whole degree :-) (And one CS class, and some fun physics)☆22Updated last year
- The Physics of Energy Based Models☆17Updated 11 months ago
- 🥚 Stanford CS221: Artificial Intelligence: Principles and Techniques☆78Updated 6 years ago
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks☆83Updated 2 years ago
- Notebooks for learning AI.☆23Updated last month
- ML implementations for practical use☆15Updated 4 years ago
- ☆53Updated this week