The harvard-edge organization on GitHub showcases a wide range of public repositories primarily focused on advanced computing and machine learning. Key projects include cs249r_book, which addresses Machine Learning Systems, and multilingual_kws, aimed at keyword spotting across multiple languages, utilizing languages such as Python, C++, and Jupyter Notebook.
Top languages
Public repositories
cs249r_book
Machine Learning Systems
AirLearning
Public repository for Air Learning project
multilingual_kws
Few-shot Keyword Spotting in Any Language and Multilingual Spoken Word Corpus
QuaRL
QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.
MAVBench
Simulator + benchmark suite for Micro Aerial Vehicle design.
source-seeking
Public Source Seeking Repository
airlearning-ue4
Environment Generator for Air Learning Project. This version is build on top of UE4 game engine
airlearning-rl
Reinforcement learning algorithms for Algorithm, policy exploration in Air Learning
ML-Sensors
No description provided for this repository.
cs249r_book_dev
Hosting the builds for the develop branch
cs249r_fall2025
No description provided for this repository.
dataperf-speech-example
Example workflow for our data-centric speech benchmark
Wake_Vision
The code used to generate the Wake Vision dataset for person detection
Gables
No description provided for this repository.
cs249r
Repository for CS249r: Tiny Machine Learning
TinyML-Footprint
No description provided for this repository.
Gladas
No description provided for this repository.
FlexiFlow
No description provided for this repository.
crazyflie-firmware
The main firmware for the Crazyflie Nano Quadcopter.
Wake_Vision_Quickstart
No description provided for this repository.
Wake_Vision_Webpage
A repository to host the source files for the wakevision.ai webpage
Wake_Vision_Challenge_Model_Centric_Track
No description provided for this repository.
Wake_Vision_Challenge_Data_Centric_Track
No description provided for this repository.
TinyMLPerf
TinyMLPerf
arch2-seminar
Website for Harvard Architecture 2.0 Seminar Series
lab
No description provided for this repository.
wake_vision_challenge_2_data_centric_track
No description provided for this repository.
isca-26-arch-2-workshop
No description provided for this repository.
asplos-26-arch-2-workshop
No description provided for this repository.
wake_vision_challenge_2_model_centric_track
No description provided for this repository.
QuArch_Discussion
No description provided for this repository.
AVPerf
No description provided for this repository.
Architecture2_0
No description provided for this repository.
tinyml_workspace
No description provided for this repository.
pyparrot
Python interface for Parrot Drones
AirSim
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
Frequently asked questions
What does harvard-edge build on GitHub?
Harvard-edge develops various projects on GitHub that focus on machine learning, reinforcement learning, and computer vision. Notable repositories include AirLearning and QuaRL, which emphasize algorithm exploration and quantization effects.
Which programming languages does harvard-edge use?
The harvard-edge organization primarily uses Python, C++, HTML, Jupyter Notebook, C, and Java. These languages support a diverse range of projects from machine learning systems to simulation environments.
Are harvard-edge's repositories public?
Yes, all repositories under the harvard-edge organization on GitHub are public. This allows for transparency and collaboration within the community, enabling users to access and contribute to their projects.
Is this exposure intended?
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