Awesome List Updates on Jan 28, 2015

3 awesome lists updated today.

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1. Awesome Elixir

Algorithms and Data structures

• datastructures (⭐215) - A collection of protocols, implementations and wrappers to work with data structures.

• the_fuzz (⭐76) - Fuzzy string-matching algorithm implementations.

Applications

• poxa (⭐1k) - Open Pusher implementation, compatible with Pusher libraries.

Authentication

• oauth2cli (⭐4) - Simple OAuth2 client written for Elixir.

Bittorrent

• wire (⭐17) - Encode and decode bittorrent peer wire protocol messages with Elixir.

Build Tools

• remix (⭐146) - Automatic recompilation of Mix code on file change.

• sass_elixir (⭐1) - A sass plugin for Elixir projects.

Code Analysis

• exprof (⭐177) - A simple code profiler for Elixir, using eprof.

Command Line Applications

• anubis (⭐130) - Command-Line application framework for Elixir.

Date and Time

• chronos (⭐91) - An Elixir date/time library.

Debugging

• booter (⭐22) - Boot an Elixir application, step by step.

• exrun (⭐119) - Distributed tracing for Elixir with rate limiting and simple macro-based interface.

Email

• mailibex (⭐59) - Library containing Email-related implementations in Elixir: dkim, spf, dmark, mimemail, smtp.

Files and Directories

• cassius - Monitor Linux file system events.

• Radpath (⭐22) - Path library for Elixir, inspired by Python's Enhpath.

Framework Components

• cors_plug (⭐397) - An Elixir plug that adds CORS headers to requests and responds to preflight requests (OPTIONS).

• plug_accesslog (⭐31) - Plug for writing access logs.

• trailing_format_plug (⭐25) - An Elixir plug to support legacy APIs that use a rails-like trailing format.

HTTP

• exvcr (⭐700) - HTTP request/response recording library for Elixir, inspired by VCR.

Images

• exexif (⭐42) - Pure Elixir library to extract TIFF and EFIX metadata from jpeg files.

JSON

• jsx (⭐689) - An Erlang application for consuming, producing, and manipulating json.

Miscellaneous

• dynamic_compile (⭐1) - Compile and load Erlang modules from string input.

• exsync (⭐140) - Yet another Elixir reloader.

• url_unroller (⭐5) - Simple URL unroller (un-shortener) in Elixir.

ORM and Datamapping

• ssdb_elixir (⭐5) - ssdb client for Elixir, with focus on performance.

Protocols

• exprotobuf (⭐481) - Protocol Buffers in Elixir, made easy.

Release Management

• changex (⭐48) - Automated changelog generation from GIT logs.

• exrm_rpm (⭐39) - Create a RPM for your Elixir release with ease.

Templating

• eml (⭐116) - Library for writing and manipulating (HTML) markup in Elixir.

Testing

• faker (⭐998) - Faker is a pure Elixir library for generating fake data.

• mix_eunit (⭐17) - A Mix task to execute eunit tests.

• mixunit (⭐2) - An EUnit task for Mix based projects.

• mock (⭐623) - Mocking library for the Elixir language.

Text and Numbers

• bencoder (⭐4) - bencode in Elixir.

• exmoji (⭐93) - Emoji encoding Swiss Army knife for Elixir/Erlang.

• pinyin (⭐21) - Chinese Pinyin lib for Elixir.

• tomlex (⭐32) - A TOML parser for Elixir.

Third Party APIs

• balanced (⭐4) - Balanced API Client for Elixir.

• commerce_billing (⭐178) - A payment-processing library for Elixir that supports multiple gateways (e.g. Bogus & Stripe).

• exgravatar (⭐22) - An Elixir module for generating Gravatar URLs.

• extwitter (⭐409) - Twitter client library for Elixir.

Other Awesome Lists

• Erlang Bookmarks (⭐1.2k) - A collection of links for Erlang developers.

Reading

• Elixir Cheat-Sheet - A Elixir cheat sheet, by Andy Hunt & Dave Thomas.

Websites

• How I start - Elixir - Explanation and intro to Elixir by José Valim.

2. Services Engineering

Services Engineering Reading List / Books

• High Performance Browser Networking (Grigorik)

3. Awesome Artificial Intelligence

Courses

• Machine Learning - Basic machine learning algorithms for supervised and unsupervised learning

• Stanford Statistical Learning - Introductory course on machine learning focusing on linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting; support-vector machines.

Learning

• Machine Learning: A Probabilistic Perspective - This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach

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