Tom Mulroy's starred repositories
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
Obstacle-Dataset
Dataset for twelve types of obstacle detection
spinningup_pytorch
An educational resource to help anyone learn deep reinforcement learning, with support for PyTorch
rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
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.
dashcam-rs
Prototype car dashboard camera using embedded Rust
police-brutality
Repository containing evidence of police brutality during the 2020 George Floyd protests
BreezySLAM
Simple, efficient, open-source package for Simultaneous Localization and Mapping
ShiTTYchat
A bare-bones terminal chat room.
obstacle_detector
A ROS package for 2D obstacle detection based on laser range data.
managers-playbook
:book: Heuristics for effective management
potassium40
Potassium40, the radioactive lambda scanner
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
aws-iot-chat-example
💬 Chat application using AWS IoT platform via MQTT over the WebSocket protocol
real-time-weather
Realtime weather application :)
guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker
DeepRacer workshop content
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.
djhworld.github.io
thoughts