sisl / Aa228 Notebook
IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University
Stars: ✭ 107
Labels
Projects that are alternatives of or similar to Aa228 Notebook
Reinforcement learning
Reinforcement Learning research
Stars: ✭ 107 (+0%)
Mutual labels: jupyter-notebook
Capsnet
CapsNet (from "Dynamic Routing Between Capsules") implemented in pytorch.
Stars: ✭ 107 (+0%)
Mutual labels: jupyter-notebook
Stylegan2 Projecting Images
Projecting images to latent space with StyleGAN2.
Stars: ✭ 102 (-4.67%)
Mutual labels: jupyter-notebook
Aws Ai Bootcamp Labs
This library holds a collection of Notebooks and code examples for AWS AI Bootcamps.
Stars: ✭ 107 (+0%)
Mutual labels: jupyter-notebook
Cs570
Code for CS570, Essentials of Data Science
Stars: ✭ 106 (-0.93%)
Mutual labels: jupyter-notebook
Tf Mrnn
Re-implementation of the m-RNN model using TensorFLow
Stars: ✭ 107 (+0%)
Mutual labels: jupyter-notebook
Bayesian Methods For Ml
Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
Stars: ✭ 107 (+0%)
Mutual labels: jupyter-notebook
Numba Examples
Example Numba implementations of functions
Stars: ✭ 108 (+0.93%)
Mutual labels: jupyter-notebook
Bingham Rotation Learning
A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.
Stars: ✭ 106 (-0.93%)
Mutual labels: jupyter-notebook
Amazon Sagemaker Stock Prediction Archived
Workshop to demonstrate how to apply NN based algorithms to stock market data and forecast price movements.
Stars: ✭ 106 (-0.93%)
Mutual labels: jupyter-notebook
Selfdrivingcar
A collection of all projects pertaining to different layers in the SDC software stack
Stars: ✭ 107 (+0%)
Mutual labels: jupyter-notebook
Beymani
Hadoop, Spark and Storm based anomaly detection implementations for data quality, cyber security, fraud detection etc.
Stars: ✭ 106 (-0.93%)
Mutual labels: jupyter-notebook
AA228 Notebooks
These notebooks are used for AA228/CS238: Decision Making under Uncertainty taught by Mykel Kochenderfer at Stanford University.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].