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amalmehta's Projects

aa274a_examples icon aa274a_examples

Examples shown in class from AA274A: Principles of Robot Autonomy I.

aa274a_hw1 icon aa274a_hw1

Homework 1 code for Principles of Robot Autonomy I (AA 174A/274A, CS 237A, EE 260A)

bids-discovery icon bids-discovery

Source code for the BIDS discovery project: Machine learning and more for the COSI telescope

finegan icon finegan

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

imaml_dev icon imaml_dev

Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

stanford-cs231 icon stanford-cs231

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

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