Tom Mulroy (tmulroy)

tmulroy

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Location:St. Petersburg, FL

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Tom Mulroy's starred repositories

computer-science

🎓 Path to a free self-taught education in Computer Science!

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Language:PythonLicense:Apache-2.0Stargazers:31398Issues:309Issues:904

barrier

Open-source KVM software

Language:CLicense:NOASSERTIONStargazers:27174Issues:259Issues:1517

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Language:PythonLicense:MITStargazers:23795Issues:939Issues:70

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:9969Issues:265Issues:1427

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Language:Jupyter NotebookLicense:MITStargazers:7898Issues:329Issues:398

paip-lisp

Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"

Language:Common LispLicense:MITStargazers:7106Issues:237Issues:51

managers-playbook

:book: Heuristics for effective management

helium

Lighter web automation with Python

Language:PythonLicense:MITStargazers:4766Issues:78Issues:93

PJON

PJON (Padded Jittering Operative Network) is an experimental, arduino-compatible, multi-master, multi-media network protocol.

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police-brutality

Repository containing evidence of police brutality during the 2020 George Floyd protests

Language:PythonLicense:MITStargazers:2621Issues:62Issues:920

grid_map

Universal grid map library for mobile robotic mapping

Language:C++License:BSD-3-ClauseStargazers:2580Issues:113Issues:232

Minigrid

Simple and easily configurable grid world environments for reinforcement learning

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rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

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ModernRobotics

Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness.

Language:PythonLicense:MITStargazers:1914Issues:88Issues:34

AtomVM

Tiny Erlang VM

Language:CLicense:Apache-2.0Stargazers:1450Issues:56Issues:281

guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker

DeepRacer workshop content. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly train and evaluate AWS DeepRacer models with full control

Language:Jupyter NotebookLicense:MIT-0Stargazers:1246Issues:103Issues:23

BreezySLAM

Simple, efficient, open-source package for Simultaneous Localization and Mapping

Language:CLicense:LGPL-3.0Stargazers:760Issues:53Issues:78

aws-iot-chat-example

💬 Chat application using AWS IoT platform via MQTT over the WebSocket protocol

Language:JavaScriptLicense:Apache-2.0Stargazers:558Issues:27Issues:24

obstacle_detector

A ROS package for 2D obstacle detection based on laser range data.

potassium40

Potassium40, the radioactive lambda scanner

Language:PythonLicense:Apache-2.0Stargazers:65Issues:4Issues:0

Obstacle-Dataset

Dataset for twelve types of obstacle detection

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dashcam-rs

Prototype car dashboard camera using embedded Rust

Language:RustLicense:BSD-3-ClauseStargazers:31Issues:2Issues:2

ShiTTYchat

A bare-bones terminal chat room.

Language:CLicense:MITStargazers:30Issues:1Issues:0

real-time-weather

Realtime weather application :)

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spinningup_pytorch

An educational resource to help anyone learn deep reinforcement learning, with support for PyTorch

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