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Source code for Algorithmic Trading with Python (2020) by Chris Conlan
Python toolkit for quantitative finance
Algorithms and Data Structures implemented in JavaScript for beginners, following best practices.
Google's officially supported Node.js client library for accessing Google APIs. Support for authorization and authentication with OAuth 2.0, API Keys and JWT (Service Tokens) is included.
PHP class to generate and verify Google Authenticator 2-factor authentication
Public interface definitions of Google APIs.
Google Research
GoogleTest - Google Testing and Mocking Framework
Empowering everyone to build reliable and efficient software.
Frontend for Resource Optimization Service
Resource optimization service for OpenStack. Mirror of code maintained at opendev.org.
Resource Optimization
This repo includes .NET Core implementations for various IoT boards, chips, displays and PCBs.
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, Du…
Parallel Collectors is a toolkit easing parallel collection processing in Java using Stream API.
HPCC Systems (High Performance Computing Cluster) is an open source, massive parallel-processing computing platform for big data processing and analytics.
Ruby: parallel processing made simple and fast
Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful experiment to an automated pipeline of model training, valid…
Method for Predicting failures in Equipment using Sensor data. Sensors mounted on devices like IoT devices, Automated manufacturing like Robot arms, Process monitoring and Control equipment etc., c…
Download and processing framework for MODIS imagery. The package provides automated access to the global online data archives LP DAAC, LAADS and NSIDC as well as processing capabilities such as fil…