AI Powered Global HCM for the Evolving World of Work
For Start-ups, SME's, Large Enterprise
Darwinbox is a new-age & disruptive mobile-first, cloud-based HRMS platform built for the large enterprises to attract, engage and nurture their most critical resource - talent. It is an end-to-end integrated HR system that aids in streamlining activities across the employee lifecycle (Hire to Retire). Our powerful enterprise product features are built with a clear focus on intuitiveness and scalability, with standards of best in class consumer apps. Darwinbox’s motto is to engage, empower, and inspire employees on one side in addition to automating and simplifying all HR processes for the enterprise on the other. Over 350+ leading enterprises with 850k users manage their entire employee lifecycle on this unified platform.
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Run applications fast and securely in a fully managed environment
Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of Google's scalable infrastructure.
Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
PyOD is a comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. This exciting yet challenging field is commonly referred as outlier detection or anomaly detection. PyOD includes more than 30 detection algorithms, from classical LOF (SIGMOD 2000) to the latest COPOD (ICDM 2020) and SUOD (MLSys 2021). Since 2017, PyOD [AZNL19] has been successfully used in numerous academic researches and commercial products [AZHC+21, AZNHL19]. PyOD has multiple neural...
Alpa is a system for training and serving large-scale neural networks. Scaling neural networks to hundreds of billions of parameters has enabled dramatic breakthroughs such as GPT-3, but training and serving these large-scale neural networks require complicated distributed system techniques. Alpa aims to automate large-scale distributed training and serving with just a few lines of code.
What is QPF 2.6 ?
QPF 2.6 (or Quantum Programming framework 2.6) is a free simple and easy to use framework dedicated to supporting programmers who are developing
software for the D-wave one series of quantum computers.
Free portable library for meta neural network research
MetaNet provides free library for meta neural network research. MetaNet library contain feed-forward neural net realisation and several integrated dataset (MNIST).
Yann is Yet Another Neural Network. Yann is a library to create fast neural networks. It is also a GUI to easily create, edit, train, execute and investigate networks. Multiple topologies, runtime properties and ensemble learning are supported.
A neural net module written in python. The aim of the project is to provide a large set of neural network types accessed by an API that is easy to use and powerful.