Posts

  • prom-client

    Prometheus client for node.js

    A prometheus client for Node.js that supports histogram, summaries, gauges and counters.

    Tags: #javascript β€’ metrics β€’ prometheus-client

  • flag

    Feature flagging for React and Redux with strong TypeScript support

    Feature flagging made easy for React and Redux

    yarn add flag
    

    Tags: #typescript

  • ptan

    PyTorch Agent Net: reinforcement learning toolkit for pytorch

    PTAN stands for PyTorch AgentNet – reimplementation of AgentNet library for PyTorch

    This library was used in β€œDeep Reinforcement Learning Hands-On” book, here you can find sample sources.

    Tags: #python

  • zanzara

    Asynchronous PHP Telegram Bot Framework built on top of ReactPHP

    • Long polling support (no webserver required)
    • Middleware chain for requests
    • Conversations and sessions (no database required)
    • Based on ReactPHP asynchronous non-blocking I/O model
    • Scheduled functions/timers provided by ReactPHP
    • Bulk message sending (no more 429 annoying errors)
    • Full Telegram Bot Api 5.3 support (June 2021)

    Tags: #php β€’ reactphp β€’ telegram

  • bert_document_classification

    architectures and pre-trained models for long document classification.

    an easy-to-use interface to fully trained BERT based models for multi-class and multi-label long document classification.

    pre-trained models are currently available for two clinical note (EHR) phenotyping tasks: smoker identification and obesity detection.

    To sustain future development and improvements, we interface pytorch-transformers for all language model components of our architectures. Additionally, their is a blog post describing the idea behind the architecture.

    This repository contains an updated implementation that corrects an error found in the original version of the preprint

    Tags: #python

  • osim-rl

    Reinforcement learning environments with musculoskeletal models

    This repository contains software required for participation in the NeurIPS 2019 Challenge: Learn to Move - Walk Around. See more details about the challenge here. See full documentation of our reinforcement learning environment here. In this document we will give very basic steps to get you set up for the challenge!

    Your task is to develop a controller for a physiologically plausible 3D human model to walk or run following velocity commands with minimum effort. You are provided with a human musculoskeletal model and a physics-based simulation environment, OpenSim. There will be three tracks:

    1) Best performance 2) Novel ML solution 3) Novel biomechanical solution, where all the winners of each track will be awarded.

    To model physics and biomechanics we use OpenSim - a biomechanical physics environment for musculoskeletal simulations.

    Tags: #python β€’ reinforcement-learning β€’ kinematics

  • node-csgo

    A node-steam plugin for Counter-Strike: Global Offensive.

    • PopFlash - Alternative CS:GO matchmaking & PUG service.
    • CS:GO Stats - Detailed insights and statistics for competitive CS:GO

    This list is getting too long. Wanna be on it? Message me on Gitter and we’ll talk. - joshuaferrara

    Tags: #javascript β€’ game-coordinator β€’ csgo

  • parallel

    Parallel processing for PHP based on Amp.

    This package can be installed as a Composer dependency.

    composer require amphp/parallel
    

    Tags: #php β€’ concurrency β€’ multiprocessing

  • setup-gcloud

    A GitHub Action for configuring the Google Cloud SDK. The Google Cloud SDK includes both the gcloud and gsutil binaries.

    Configures the [Google Cloud SDK][sdk] in the GitHub Actions environment. The Google Cloud SDK includes both the [gcloud][gcloud] and [gsutil][gsutil] binaries.

    Or integrate natively with other Google Cloud GitHub Actions:

    Tags: #typescript β€’ gcp β€’ google-cloud-platform

  • rails

    Official Ruby on Rails specific tasks for Capistrano

    Rails specific tasks for Capistrano v3:

    • cap deploy:migrate
    • cap deploy:compile_assets

    Tags: #ruby β€’ capistrano β€’ rails

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