Reading list for research topics in sound event detection

Reading List for topics in Sound Event Detection Introduction Sound event detection aims at processing the continuous acoustic signal and converting it into symbolic descriptions of the corresponding sound events present at the auditory scene. Sound event detection can be utilized in a variety of applications, including context-based indexing and retrieval in multimedia databases, unobtrusive monitoring in health care, and surveillance. Recently (since 2017), to utilise large multimedia data available, learning acoustic information from weak annotations was formulated. This reading […]

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Yet Another Reinforcement Learning Tutorial

This repo contains self-contained RL implementations including For those who want to run without git clone, please find the colab notebooks in this Google Drive. Lecture notes can also be found in this repo. It contains: RL applications Model-based methods (MDP, Value Iteration, Policy Iteraction, etc) Model-free methods (MC, TD, SARSA, Q-learning, etc) Policy-based methods (TRPO, PPO, SAC, etc) Population-based methods (CEM, CMA-ES, ARS) Summary contact: sungjoon-choi at korea dot ac dot kr GitHub https://github.com/sjchoi86/rl_tutorial    

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Extensive collection of Python projects from PyPI, for Nix

Extensive collectionof Python projectsfrom the Python Packaging Index.That can be installed with the Nix package manager. Checkout the projects folder,each entry represents a project and its available versions. For example: Project: awscli and version: 1.20.31, or Project: requests and version 2.26.0 If you want to refer to the latest version available you can do it: Project: awscli and version latest, or Project: requests and version: latest If you want to only use the binaries of a projectyou can install them […]

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Examples of Askdata usage in serving different types of data

This repository contains examples of Askdata usage in serving different types of data. Installation pip install askdata orpip install -r requirements.txt Authentication Lets handle our authenticaton from askdata import Askdata askdata = Askdata() Once your insert your account and password you’re all set Query your data # Load the list of the agents connected to your account as a pandas dataframe get_agents_df = askdata.agents_dataframe() #get one agent agent = askdata.agent(“sales_demo”) # Simple query df = agent.ask(‘give me sales by countries’) […]

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Official Notion SDK rewritten in Python (sync + async)

notion-sdk-py This client is meant to be a Python version of the reference JavaScript SDK,so usage should be pretty similar between both. 😊 šŸ“¢ Announcement (14-08-2021) — 0.6.0 is now released and adds support forthe recent Notion API changes.Upgrading should be seamless from 0.4.0 onwards. Installation pip install notion-client Usage Before getting started, create an integrationand find the token.→ Learn more about authorization. Import and initialize a client using an integration token or anOAuth access token. import os from notion_client […]

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Easy way to use Telegram bot to hide your identity

Easy way to use Telegram bot to hide your identity. Useful for support, anonymous channel management. Free clone of Livegram Bot. How bot works: Your client write a message to your bot Bot forwards the message to your secret chat Any chat participant can reply on a forwarded message Bot will copy the message and send it to your client .env variables You need to specify these env variables to run this bot. If you run it locally, you can […]

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A ranked list of awesome python developer tools and libraries

A ranked list of awesome Python open-source libraries & tools. Updated weekly. This curated list contains 300 awesome open-source projects with a total of 950K stars grouped into 26 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome! […]

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EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture

EfficientTTS Unofficial Pytorch implementation of ā€œEfficientTTS: An Efficient and High-Quality Text-to-Speech Architectureā€(arXiv). Disclaimer: Somebody mistakenly think I’m one of the authors. In fact, I am not even in the author list of this paper. I am just a TTS enthusiast. Some important information of the implementation is not presented by the paper. Some model parameters in current version is based on my understanding and exepriments, which may not be consistent with those used by the authors. Updates 2020/12/23: Mandarin Chinese […]

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Open-AI’s DALL-E for large scale training in mesh-tensorflow

Open-AI’s DALL-E in Mesh-Tensorflow. If this is similarly efficient to GPT-Neo, this repo should be able to train models up to, and larger than, the size of Open-AI’s DALL-E (12B params). No pretrained models… Yet. Thanks to Ben Wang for the tf vae implementation as well as getting the mtf version working, and Aran Komatsuzaki for help building the mtf VAE and input pipeline. git clone https://github.com/EleutherAI/GPTNeo cd GPTNeo pip3 install -r requirements.txt Training Setup Runs on TPUs, untested on […]

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