crypto-arbitrage - Automatic Trading Bot using Triangular or Exchange Arbitrages

•    Python

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This is an automatic trading bot using Triangular or Exchange Arbitrages. It reguarly checks and detects arbitrage opportunities, and place orders when a profit can be made. This works on any cryptocurrency pairs with minor configuration. Started with $1000 in October 2017, there were some times that this made about $40/day for a few weeks with Triangular Arbitrage on Bittrex, but as the market is getting very unstable, the profit is hard to outrun the high price fluctuation. Triangular: python main.py -m triangular Exchange: python main.py -m exchange Mock mode is enabled by default, which does not place any order and just check and show any arbitrage opportunities. To turn off mock mode and run in production, add the argument -p.

cryptocurrency arbitrage exchange bitcoin ethereum litecoin trading-bot cryptocurrency-arbitrage

interactive-deep-colorization - Deep learning software for colorizing black and white images with a few clicks

•    Jupyter

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We first describe the system (0) Prerequisities and steps for (1) Getting started. We then describe the interactive colorization demo (2) Interactive Colorization (Local Hints Network). There are two demos: (a) a "barebones" version in iPython notebook and (b) the full GUI we used in our paper. We then provide an example of the (3) Global Hints Network. We provide a "barebones" demo in iPython notebook, which does not require QT. We also provide our full GUI demo.

colorization automatic-colorization deep-learning deep-learning-algorithms computer-vision caffe interactive

Caption - Caption — Find the right subtitles. Easy.

•    Javascript

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Caption — Find the right subtitles. Easy.

caption subtitle app electron electron-app subtitles react react-router webpack react-hot download docker user-interface management docker-ui

Maxemum TV-Guide

•    C++

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Maxemum TV-Guide is a KDE TV guide. It features an easy-to-use user interface, quick channels-only selection, descriptions, automatic hiding, favourite show highlighting, real-time updates with color encoded time, automatic grabbing of listings and more!

Yara - The pattern matching swiss knife for malware researchers

•    C

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YARA is a tool aimed at (but not limited to) helping malware researchers to identify and classify malware samples. With YARA you can create descriptions of malware families (or whatever you want to describe) based on textual or binary patterns. Each description, a.k.a rule, consists of a set of strings and a boolean expression which determine its logic.

malware malware-analysis threat-analysis security virus

gui4j

•    Java

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Gui4j is a framework for Java to describe graphical user interfaces using XML. During runtime, the framework reads the XML descriptions and generates the corresponding Graphical User Interface using the standard Swing library.

troposphere - troposphere - Python library to create AWS CloudFormation descriptions

•    Python

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The troposphere library allows for easier creation of the AWS CloudFormation JSON by writing Python code to describe the AWS resources. troposphere also includes some basic support for OpenStack resources via Heat. To facilitate catching CloudFormation or JSON errors early the library has property and type checking built into the classes.

aws-cloudformation python3

grafeas - Cloud artifact metadata CRUD API and resource specifications

•    Go

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Grafeas defines an API spec for managing metadata about software resources, such as container images, Virtual Machine (VM) images, JAR files, and scripts. You can use Grafeas to define and aggregate information about your project's components. Grafeas divides the metadata information into notes and occurrences. Notes are high-level descriptions of particular types of metadata. Occurrences are instantiations of notes, which describe how and when a given note occurs on the resource associated with the occurrence. This division allows third-party metadata providers to create and manage metadata on behalf of many customers. It also allows for fine-grained access control of different types of metadata.

poloniexlendingbot - Automated lending on Cryptocurrency exchanges Poloniex and Bitfinex

•    Python

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The Crypto Coin Lending Bot is written in Python and features automatic lending on exchanges Poloniex and Bitfinex. It will automatically lend all cryptocurrencies found in your lending account.It uses an advanced lending strategy which will spread offers across the lend book to take advantage of possible spikes in lending rates. Inspired by MarginBot and BitfinexLendingBot.

poloniex bot bitcoin lending poloniex-lending-bot bitfinex lending-strategies

ConSequence

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The ConSequence project is about automatically concatenating sequences. The target is automatic model-based test generation: Sequences that describe tests are often designed manually. Automatically concatenating them results in better test suites.

CIDSS

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CIDSS - Common Intrusion Detection Signatures Standard – is our standard based on experiences due to tries of automatic translating signatures various companies. CIDSS is now the most extensible language that can describe network intrusions.

connexion - Swagger/OpenAPI First framework for Python on top of Flask with automatic endpoint validation & OAuth2 support

•    Python

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Connexion is a framework on top of Flask that automagically handles HTTP requests based on OpenAPI 2.0 Specification (formerly known as Swagger Spec) of your API described in YAML format. Connexion allows you to write a Swagger specification, then maps the endpoints to your Python functions; this makes it unique, as many tools generate the specification based on your Python code. You can describe your REST API in as much detail as you want; then Connexion guarantees that it will work as you specified.With Connexion, you write the spec first. Connexion then calls your Python code, handling the mapping from the specification to the code. This incentivizes you to write the specification so that all of your developers can understand what your API does, even before you write a single line of code.

openapi api-rest swagger flask-extensions

Closed Caption Decoder

•    C

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Closed Caption/Extended Data Services Decoder for bttv based video cards.

show-attend-and-tell - TensorFlow Implementation of "Show, Attend and Tell"

•    Jupyter

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Update (December 2, 2016) TensorFlow implementation of Show, Attend and Tell: Neural Image Caption Generation with Visual Attention which introduces an attention based image caption generator. The model changes its attention to the relevant part of the image while it generates each word.First, clone this repo and pycocoevalcap in same directory.

tensorflow image-captioning show-attend-and-tell attention-mechanism mscoco-image-dataset

CaptionHoverEffects - A tutorial on how to create some subtle and modern caption hover effects.

•    Javascript

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A tutorial on how to create some subtle and modern caption hover effects.

coco-caption

•    Jupyter

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Evaluation codes for MS COCO caption generation. ./pycocoevalcap: The folder where all evaluation codes are stored.

FulbotPHP

•    PHP

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FulbotPHP is a simple IRC bot totaly written in PHP via socket functions. FulbotPHP can handle most of the basic IRC commands, but not any automatic features like floodprotection YET!.

dctcd

•    C++

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quot;GUIquot; for DCTC (Direct Connect Text Client) focused on fully automatic run on servers, gathering upload stats and working as a chat bot. It's modular design enables simple extending its functionality.

b0xNet

•    Perl

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b0xNet is an advanced modular Eggdrop distribution with multi-lingual support. It will run on Unix and Linux operating systems but may be limited to x86 compatible architectures. It includes an automatic upgrade feature to keep your bot up to date.

usic

•    C

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usic [Uniform Services Irc Client] is an automatic IRC Client (bot) with the abillity of use custom made plugins.