Heterogeneous & Homogeneous CPU Detect for Intel Processors

Heterogeneous & Homogeneous CPU Detect for Intel Processors

Publication-ready NN-architecture schematics.

Latex code for making neural networks diagrams

With BBN OS you can build a central boat computer. BBN OS is free and open source. It is based on commonly used community supported open source projects such as SignalK, PyPilot, OpenCPN, and other…

Opensource hardware and software solutions for sailing and sailboats

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

📱 Mobile first web app to monitor PyTorch & TensorFlow model training

🧪 Monitor PyTorch & TensorFlow model training from your mobile phone 📱

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

free autopilot for sailboats written in python supporting signalk

Web UI to drive one or more RGB LED Matrix Panels using Swim WebAgents to manage each LED Panel state.

RIOT - The friendly OS for IoT

Training support for the IoT-LAB testbed

FIT Iot-LAB repository

TensorFlow Reinforcement Learning

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

Training Object Detection model on Google Colab to play Google Dinosaur game

Open source hardware and software platform to build a small scale self driving car.

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

Simple example of using a CSI-Camera (like the Raspberry Pi Version 2 camera) with the NVIDIA Jetson Developer Kit

A benchmark framework for Tensorflow

Open-source video compositing software. Node-graph based. Similar in functionalities to Adobe After Effects and Nuke by The Foundry.

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, P…

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Example R scripts and data for "Practical Data Science with R" 1st edition by Nina Zumel and John Mount (Manning Publications)

Official content for Harvard CS109