CELLSTRAT HUB
An innovative full-stack MLOps platform for accelerating your AI development and launches. Jumpstart you AI development with readymade AI projects and AI Services.
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AI Services portfolio to simplify your AI development and provide readymade AI compute on the Cloud.
RESEARCH & IP
CellStrat is a global AI Lab doing cutting-edge R&D in emerging areas of Artificial Intelligence, Machine Learning, Deep Learning and other latest technologies.
AI COMMUNITY
A large AI community to drive innovations, product development and research around emerging areas of Computer Vision, NLP, RL, Graphs, AGI etc.
CellStrat Hub
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A simple cloud-based Jupyter Environment to Develop, Deploy and Collaborate on AI.
CellStrat AI Platform
A cutting-edge Healthcare AI system
An advanced AI and Deep Learning platform for sophisticated Healthcare AI solutions.
POPULAR COURSES
Solutions Consulting in AI and Machine Learning
CellStrat defines the standard in AI and ML application design and development.
Backed by our market-leading research content, we have expertise in algorithmic design related to machine learning protocols, deep neural networks and training AI routines. We are expert in developing scalable machine learning programs and applications.
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RECENT POSTS
Author : Ranjith Muralidharan Submitted on : 4 Sep 2021 Abstract – A brain tumor is a cluster of abnormal cells that grows out of control in your brain. Some brain tumors are benign, which do not necessarily lead to cancer though can cause serious health problems. Others are malignant, which means they can cause […]
Author : Nikhil Narayan Submitted on : 5 Dec 2020 Abstract – This paper discusses the working principle of SimCLR algorithm, developed by research scientists at Google Brain. SimCLR framework incorporates a unique choice of data augmentation techniques along with a learnable nonlinear transformation between the representation and the contrastive loss to substantially improve the […]
Author : Shubha Manikarnike Submitted on : 5 Dec 2020 Abstract – This paper is a review of the paper “Reinforcement Learning for Supply Chain Optimization” (https://www.researchgate.net/publication/328676423_Reinforcement_learning_for_supply_chain_optimization) and helps us understand how to model the supply chain environment as a Reinforcement Learning problem and how to model the DDPG algorithm can be used to successfully […]
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