Boston

Brandon Rohrer

Elite
@brohrer

An hodgepodge of research and applications, algorithms, data, writing, networking, and teaching.

academic_advisory. Collected opinions and advice for academic programs focused on data science skills.

441

sharpened-cosine-similarity. An alternative to convolution in neural networks

264

robot-brain-project. a general purpose learning agent

211

brohrer.github.io. Public web page for brohrer

98

cottonwood. A flexible neural network framework for running experiments and trying ideas.

80

pacemaker. For controlling time per iteration loop in Python.

48

public-hosting. A place to publically host files I need a URL for.

43

parameter_efficiency_leaderboard. The most parameter efficient machine learning models on a few popular benchmarks

42

publications. Posts, presentations and papers I've written.

39

how-to-train-your-robot. Content, code, and resources for the book How to Train Your Robot.

25

taming_matplotlib. Tutorials for getting the most out of Matplotlib

23

nn_framework. A simple neural network framework

22

how_optimization_works. Python

18

cottonwood_martian_images. Autoencoder-based image compression using pictures of the surface of Mars.

18

byo_decision_tree. Code and data to accompany the Udemy course End-to-end data science: decision trees

16

sqlogging. Sqlite3-based logging for Python

15

what_nns_learn. Simulations to illustrate what neural networks learn.

13

scs-gallery. Some examples of sharpened cosine similarity in working neural networks.

10

lodgepole. Image and video processing toolbox

10

how_modeling_works. Python

9

autoencoder_visualization. Custom visualization of a deep autoencoder neural network using Matplotlib.

9

nn_optimization. A neural network framwork for demonstrating hyperparameter optimization

8

dsmq. Python

7

ziptie. Python

6

build_your_own. A collection of "build your own" projects.

5

becca_test. A suite of test worlds for BECCA.

4

AI-Vengers. Jupyter Notebook

4

httyr-tools. A junk drawer of snippets and utilities to accompany How to Train Your Robot code

3

ab-test-peeking. Python

3

e2eml.school. HTML

3

robot-training-game. Python

3

becca_viz. Visualization tools for becca

3

becca_toolbox. A collection of tools for use with Becca

3

many-to-many-dijkstra. A predictive model developed to identify medium-voltage electrical distribution grid infrastructure using publicly available data sources.

2

byo_dog_breed_sizer. An end-to-end machine learning project to build a tool that chooses dog breeds based on their size and build

2

ponderosa. A hyperparameter optimization tool

2

cartographer-paper. TeX

1

f1db. Open Source Formula 1 Database

1

all-positive-integers-in-ascending-order. A list of all positive integers in ascending order (incomplete)

1

ziptie-paper. A white paper describing the Ziptie algorithm, and all the files needed to render it in LaTeX

1

study-mr-frog.

1

online-normalization. Online Normalization for Training Neural Networks (Companion Repository)

1

cartographer. Python

1

tyr.fyi. Website for tyr.fyi domain

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