jessica-wyleung / VMLS-py
Dataset used in the Python Language Companion to Applied Linear Algebra. Vectors, Matrices, and Least Squares
☆14Updated 5 years ago
Related projects: ⓘ
- These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.☆300Updated 4 years ago
- ☆72Updated 7 years ago
- Errata for Algorithms for Optimization book☆67Updated 3 months ago
- All typeset code blocks from the book, Algorithms for Decision Making.☆32Updated last year
- Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition☆69Updated 5 years ago
- Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/☆48Updated 3 weeks ago
- ☆25Updated 3 years ago
- This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.☆72Updated 3 years ago
- Hands-On Simulation Modeling with Python, published by Packt☆62Updated last year
- Cross-entropy method variants for optimization in Julia☆12Updated 3 years ago
- Workshop on Bayesian inference using PyMC☆26Updated 3 years ago
- Solutions and workflow for the Bayesian Statistics The Fun Way book in Python☆64Updated 8 months ago
- By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …☆30Updated last year
- Performant, differentiable reinforcement learning☆121Updated 3 months ago
- APPM 5630 at CU Boulder☆42Updated 7 months ago
- Understanding RL vision Distill article☆23Updated last year
- Optimization: principles and algorithms - Michel Bierlaire - EPFL Press - 2015☆13Updated 6 years ago
- Notebook for the Bayesian Optimization (quick) tutorial☆9Updated 3 years ago
- Data Science for Dynamical System Course☆93Updated last month
- Course material for 1RT700 Statistical Machine Learning☆58Updated 7 months ago
- ☆52Updated this week
- Simple Reinforcement-Learning Implementations in Julia. Warning: Can't find my own mistakes anymore.☆44Updated 4 years ago
- Programming of Simulation, Analysis, and Learning Systems Course Materials☆34Updated this week
- test repo for Algorithms for Optimization☆31Updated 2 years ago
- ☆131Updated 11 months ago
- Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023☆49Updated last year
- Random walk OpenAI Gym environment.☆19Updated last year
- Great resources for learning optimal control☆16Updated 5 years ago
- Python bindings to some optimization benchmarks (robotics problems), in order to constrained optimization solvers. Includes also an inter…☆20Updated last year
- Simple single file implementations of Reinforcement Learning algorithms in Julia☆20Updated last year