Posts
-
activejob-traffic_control
Rate limiting/job enabling for ActiveJob using distributed locks in Redis or Memcached.
Rate controls for your
ActiveJobs, powered by Suo, a distributed semaphore library backed by Redis or Memcached.Tags: #ruby
-
mongo-ruby-driver
The Official MongoDB Ruby Driver
Install via RubyGems, either via the command-line for ad-hoc uses:
$ gem install mongo
Or via a Gemfile for more general use:
gem βmongoβ
Tags: #ruby β’ mongodb β’ mongodb-driver
-
omniauth-auth0
OmniAuth strategy to login with Auth0
Tags: #ruby β’ dx-sdk β’ omniauth
-
chewy
High-level Elasticsearch Ruby framework based on the official elasticsearch-ruby client
Chewy is an ODM (Object Document Mapper), built on top of the official Elasticsearch client.
Tags: #ruby β’ elasticsearch β’ elasticsearch-client
-
addon-designs
A Storybook addon that embeds Figma, websites, or images in the addon panel.
A Storybook addon that embed Figma or websites in the addon panel for better design-development workflow.
Tags: #typescript β’ storybook β’ javascript
-
extension
The first open-source browser extension wallet for Bitcoin NFTs
UniSat Wallet - the first open-source browser extension wallet for Ordinals on bitcoin.
- Website: https://unisat.io/
- Twitter: https://twitter.com/unisat_wallet
Tags: #typescript β’ bitcoin β’ extension
-
dropbox_api
Ruby client library for Dropbox API v2
Library for communicating with Dropbox API v2.
Tags: #ruby β’ dropbox-api β’ dropbox
-
macad-gym
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
Install MACAD-Gym using
pip install macad-gym. If you haveCARLA_SERVERsetup, you can get going using the following 3 lines of code. If not, follow the Getting started steps.Tags: #python β’ multi-agent-reinforcement-learning β’ autonomous-driving
-
svg-gauge
Minimalistic, animated SVG gauge. Zero dependencies
Minmalistic, configurable, animated SVG gauge. Zero dependencies
Tags: #javascript β’ gauge β’ svg
-
limdu
Machine-learning for Node.js
Limdu is a machine-learning framework for Node.js. It supports multi-label classification, online learning, and real-time classification. Therefore, it is especially suited for natural language understanding in dialog systems and chat-bots.
Limdu is in an βalphaβ state - some parts are working (see this readme), but some parts are missing or not tested. Contributions are welcome.
Limdu currently runs on Node.js 0.12 and later versions.
Tags: #javascript
subscribe via RSS