PyTorch

PyTorch implementation of Federated Learning with Non-IID Data

This is an implementation of the following paper: Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, Vikas Chandra. Federated Learning with Non-IID DataarXiv:1806.00582. Paper TL;DR: Previous federated optization algorithms (such as FedAvg and FedProx) converge to stationary points of a mismatched objective function due to heterogeneity in data distribution. In this paper, the authors propose a data-sharing strategy to improve training on non-IID data by creating a small subset of data which is globally shared between all the […]

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Visualization

An open access book on scientific visualization using python and matplotlib

Scientific Visualization: Python + Matplotlib Nicolas P. Rougier, Bordeaux, November 2021. The Python scientific visualisation landscape is huge. It is composed of a myriad of tools, ranging from the most versatile and widely used down to the more specialised and confidential. Some of these tools are community based while others are developed by companies. Some are made specifically for the web, others are for the desktop only, some deal with 3D and large data, while others target flawless 2D rendering. […]

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MIDI

A classical piano MIDI dataset contains 10,854 MIDI files of 2,786 composers

GiantMIDI-Piano [1] is a classical piano MIDI dataset contains 10,854 MIDI files of 2,786 composers. The curated subset by constraining composer surnames contains 7,236 MIDI files of 1,787 composers. GiantMIDI-Piano are transcribed from live recordings with a high-resolution piano transcription system [2]. Here is the demo of GiantMIDI-Piano: https://www.youtube.com/watch?v=5U-WL0QvKCg Transcribed MIDI files of GiantMIDI-Piano can be viewed at midis_preview directory. Download GiantMIDI-Piano Method 1 (suggested) Follow disclaimer.md to agree a disclaimer and download a stable version of GiantMIDI-Piano (193 MB). […]

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Tello

A collection of python modules that interact with the Ryze Tello drone

Introduction This is a collection of python-based sample code that interact with the Ryze Tello drone. Project Description This toolkit contains three sample programs based on tello sdk and python2.7,including Single_Tello_Test, Tello_Video, and Tello_Video (With_Pose_Recognition). There is also a program file named tello_state.py. In Single_Tello_Test,You can design a series of command combinations by writing a txt script to let tello execute a series of actions you have designed. This program can also be used as a command set test tool […]

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Hardware

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

Donkeycar is minimalist and modular self driving library for Python. It is developed for hobbyists and students with a focus on allowing fast experimentation and easy community contributions. Quick Links Use Donkey if you want to: Make an RC car drive its self. Compete in self driving races like DIY Robocars Experiment with autopilots, mapping computer vision and neural networks. Log sensor data. (images, user inputs, sensor readings) Drive your car via a web or game controller. Leverage community contributed […]

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Search

Cve-search : a tool to perform local searches for known vulnerabilities

cve-search is a tool to import CVE (Common Vulnerabilities and Exposures) and CPE (Common Platform Enumeration) into a MongoDB to facilitate search and processing of CVEs. The main objective of the software is to avoid doing direct and public lookups into the public CVE databases. Local lookups are usually faster and you can limit your sensitive queries via the Internet. cve-search includes a back-end to store vulnerabilities and related information, an intuitive web interface for search and managing vulnerabilities, a […]

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Python

Building Lists With Python’s .append()

Adding items to a list is a fairly common task in Python, so the language provides a bunch of methods and operators that can help you out with this operation. One of those methods is .append(). With .append(), you can add items to the end of an existing list object. You can also use .append() in a for loop to populate lists programmatically. In this course, you’ll learn how to: Work with .append() Populate lists using .append() and a for […]

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Document

An Indexer that works out-of-the-box when you have less than 100K stored Documents

An Indexer that works out-of-the-box when you have less than 100K stored Documents. U100K means under 100K. At 100K stored Documents with 768-dim embeddings, you can expect 300ms for single query or 20~120QPS for batch queries. Results are full Documents. U100KIndexer leverages jina.DocumenetArrayMemmap as the storage backend and .match() to conduct nearest neighbours search. It returns the full Documents as-is, hence no need to concatenate it with another key-value indexer to retrieve Documents. Pros & cons Pros Exhaustive search: highest […]

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