437 skills found · Page 1 of 15
dear-github / Dear Github:incoming_envelope: An open letter to GitHub from the maintainers of open source projects
nylas / Sync Engine:incoming_envelope: IMAP/SMTP sync system with modern APIs
bevacqua / Promisees:incoming_envelope: Promise visualization playground for the adventurous
xbdcc / GrabRedEnvelope微信抢红包Android APP
mattrighetti / EnvelopeAn environment variables cli tool backed by SQLite
tomekwojcik / EnvelopesMailing for human beings
waylife / RedEnvelopeAssistant[Deprecated] RedEnvelopeAssistant 微信/支付宝红包助手 本程序不再维护，大家可转向https://github.com/geeeeeeeeek/WeChatLuckyMoney
xinghaochen / TinySAM[AAAI 2025] Official PyTorch implementation of "TinySAM: Pushing the Envelope for Efficient Segment Anything Model"
unofficial-protonmail-desktop / Application:envelope: Unofficial desktop client for ProtonMail
NEST-Protocol / NESTRedEnvelopesBotThe NEST Prize Bot is a tool for the activity of the NEST community.
doedje / Jquery.soapThis script uses $.ajax to send a SOAP:Envelope. It can take XML DOM, XML string or JSON as input and the response can be returned as either XML DOM, XML string or JSON too.
CharlieDinh / PFedMePersonalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
ardov / ZerroUnofficial ZenMoney client with envelope budgeting superpowers
gionanide / Speech Signal Processing And ClassificationFront-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) [4]. The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset) [5] will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].
tiagolr / Time12An envelope based delay modulator
apsrcreatix / Socket Programming With C:envelope: Learn Network Protocol and Network Programming
DiegoRBaquero / Node Fb Messenger:envelope: Facebook Messenger Platform Node.js API Wrapper
eahefnawy / Serverless Mailer:envelope: Serverless Service for sending emails.
kalaspuff / Tomodachi💻 Microservice lib designed to ease service building using Python and asyncio, with ready to use support for HTTP + WS, AWS SNS+SQS, RabbitMQ / AMQP, middlewares, envelopes, logging, lifecycles. Extend to GraphQL, protobuf, etc.
cbrgm / Telegram Robot RssA clean and easy to use RSS Newsfeed Bot for fabulous Telegram Messenger App! :robot: :envelope: :heart:
