( without GPU )
Supports all popular Deep Learning Packages
Tensor Flow, Keras, PyTorch, Scikit-Learn, Pandas, NumPy, NLTK
Supports all popular Deep Learning Architecture/Deep Convolutional Networks
SNN, RNN, Perceptron, YOLO , Back Propagation, Auto Encoders
Indicative configurations for existing Desktops/Workstations
WOCLO framework
I-5 or I-7, 8 to 16 GB, 1TB of SSD ( 3 K ), Switch ( min of 1-Gigabit )
( with GPU )
All popular Deep Learning Packages
Tensor Flow, Keras, Caffe, PyTorch, Scikit-Learn, Theano, MXNet, Pandas, NumPy, NLTK
All popular Deep Learning Architecture/Deep Convolutional Networks
AlexNet, Google Inception Models, VGG Net, ResNet, RCNN/Faster RCNN, YOLO Version Etc
Indicative Configurations - Desktops/Workstations
AI Server with Dual Processor and 2 Nvidia A100 GPU, 256 GB RAM, 8-TB SSD
Data Science lab by repurposing existing hardwares
Hadoop (HDFS, MR,Yarn), Hive, Pig, Spark, MR-2, HDFS based DBs, Hbase, etc.
NoSQL ( MongoDB and Cassandra )
Analytics Modules ( All the related python modules )
Analytic Engines - Kibana, Grafana and Tableau
Multi User Accessibility
Indicative configurations for existing Desktops/Workstations
I-5 or I-7, 8 to 16 GB, 1TB of SSD ( 3 K ), Switch ( min of 1 Gigabit )
Designing labs/sessions capabilities
Inbuilt Question Bank
Predefined Sessions
Students/HODs/Parents and Faculties logins
Lab-records, study material provided by faculties
Marks managements etc.
State of the art tracking capabilities at all levels/roles
Support for QCM (Quality Check Management)
Dashboard
Platform
Sessions
Live Labs
Stats
Misc
Student, faculty, HOD, Management, Parents
Integrated for Data Science
Deep learning, Big Data, Data Analytics
Access to Management, HOD, Faculty
Available to Management, HOD, Faculty
Attendance, Lab Reports, Technical Examples
Model
Environment
Prime Modules
Misc
Includes 12 system configurations OR GPU setup
Jupyter Hub with Plugins
Keras, Tensor flow, Sci-kit, Open CV, etc.
Multi User Accessibility
Core Components
Eco System
Engines
HDFS based DBs
Misc
Hadoop ( HDFS, MR, Yarn ) - 3 clusters
Hive, Pig
Spark, MR-2
Hbase
Multi User Accessibility, Handbook
If you are a school running for specially skilled students or Orphans.
If you are a school of less than 100 - then our charges are as much less as 1000/-
If you are running non-Profitable/ Charitable schools and cannot afford our services.