Developed and maintained by Facebook, PyTorch is an open-source, end-to-end deep learning framework that facilitates tensor computing, the fundamental base of deep learning. With built-in automatic differentiation, it offers incredibly fast training on Computer Vision, Deep Learning, Machine Learning, and Natural Language Processing.
We offer PyTorch development consulting and on-demand resources for Machine Learning model development.
Audit of IT infrastructure and processes to assess the feasibility of PyTorch development and implementation – roadmap, PoC, and governance design
Advanced ML applications – image processing/ classification, prediction applications, time series applications, OCR, etc.
PyTorch ResNet Implementation – Training/development of advanced neural and deep neural network models for computer vision apps
PyTorch LSTM implementation – training an LSTM language model to perform Natural Language Generation
Design and creation of PyTorch pipelines – PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results
SLA-driven support and maintenance to manage PyTorch infrastructure, PyTorch Pipelines, and PyTorch applications
As a leading PyTorch development company, we have experience in the spectrum of PyTorch Tools and Libraries.
We have facilitated numerous clients to adopt AI-powered automation for incremental man-hours savings and service improvement. Our vision, proven approach, and Centre of Excellence delivery model accelerates intelligent process automation development.
Faster automobile claim settlement through intelligent image recognition of vehicle damage and AI-powered document extraction.
Development of AI chatbot for invoice download, mortgage calculations, loan calculations, risk profiling, etc.
Sales and marketing
Automated calculation and updating of CRM and scorecards to allow teams to focus on nurturing leads and improve TAT 8-10x.
Our IPA consultant will get in touch to understand your requirements and assess the project feasibility – current IT infrastructure, user skills, and business processes. We will offer you our project proposal along with suitable engagement models to choose from. We begin immediately after the signing of the contract.
Most of the processes that have routine operations and are repetitive can be automated. We have a detailed process for Automation Discovery Assessment where we chalk-out the IPA roadmap for feasible processes.
The cost of the project depends on multiple factors – project scope, technology stack, man-hours required, engagement model, business objective, depth of process automation, etc. Having said that, we aim to strike a balance between cost and quality for maximum satisfaction.
Yes, you can. We provide resources that are experienced in AI/ML tools like TensorFlow, Keras, PyTorch, Caffe, etc. on a full-time basis.
Sure, we can. In cases where a different team has worked/is working on the project, our SME will understand project requirements and existing documentation to assess the scope and man-hours required. After this, we will offer suitable engagement models.
Yes, you can. We offer team augmentation engagement where our experienced resources work along with your team and make the best out of the insource cum outsource development model.
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