Deep Hive Mind's repositories
Distributed_DataMesh_2.0_Cloud_Implementation
:trophy: Distributed Data Mesh 2.0 | DataMesh-as-a-Code on Cloud | Theory to Industrialization
gateway_to_DeepReinforcementLearning_DeepNN
:trophy: Welcome to the wonderland of "AI" = f(DL, RL, DRL, ML, NLP, KG, MLOPS)
EnterpriseAI_Platform_MLOps
:trophy: Real-World AI/ML Ecosystem | Enterprise AI Platform Recipe | Custom MLOPS
Generative-AI
This repo contains industry use cases and application code for GenAI
Text_Detection_Images_IDCard_CTPN
Text detection from wild Images, ID Cards using CTPN (connectionist text proposal network) Model
Amazon-EMR-on-Amazon-EKS-Spark-job-with-AWS-Step-Functions
Orchestrate an Amazon EMR on Amazon EKS Spark job with AWS Step Functions
clara-platform-python-client
An intuitive Python 3 package to develop applications with NVIDIA Clara Deploy
Confluent_KafkaPlatform_Python-demos
Apache Kafka and Confluent Platform examples and demos
cryptography
cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.
Federated-Learning_simplified
:fire: Federated Learning Simplified with Frameworks
GCP_Simplified_ELI5
A nice artistic work to canvass GCP cloud in simplified manner. Explain Like I'm 5.
Ontology_FIBO_BFS-Domain
The Financial Industry Business Ontology (FIBO) defines the sets of things that are of interest in financial business applications and the ways that those things can relate to one another. In this way, FIBO can give meaning to any data (e.g., spreadsheets, relational databases, XML documents) that describe the business of finance.
personalised-federated-learning
Principles of ML Systems Project
PyTorch_TF2_DeepNN_Image_Speech_NLP_Recommendation_Transformer
:fire: Deep NN Models with FRAMEWORKS -- PyTorch, Tensorflow 2, Kaldi, FastSpeech, MxNET Frameworks -- Image/Speech/NLP/Recommendation/Transformer Cognitive Analytics
Spark-Salesforce-Connector
Spark data source for Salesforce
CDM
The Common Data Model (CDM) is a standard and extensible collection of schemas (entities, attributes, relationships) that represents business concepts and activities with well-defined semantics, to facilitate data interoperability. Examples of entities include: Account, Contact, Lead, Opportunity, Product, etc.
MONAI_MedicalOpenDeepLearningFramework_NVIDIA
MONAI Tutorials
MultiCloud_HybridCloud_KubeVela_KNative_Terraform_samples
MultiCloud HybridCloud KubeVela KNative Terraform samples (Curated K8s implementation of OAM) Samples Repository
NVIDIA-CLARA-Train-examples
Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models
python-apache-beam-spark
Example on how to deploy Apache beam, Spark Cluster on Kubernetes and run Python code
RegEx_Py_Routines_to_Generat_Dictionary
Regular expression implementation using Python
Solar_Panel_Fault_Detection_Video_AI
This repository contains code, data and model for Sonal Panel Fault detection
Spark_PII-PHI_Privacy_Preserving
Collaborate on privacy-preserving policy for data science projects in Pandas and Apache Spark
Video-AI-ServingPipeline_Object_Anomaly_Topic_Audio_Emotion_Detection
Video AI Serving Pipeline for Multi-Modal Analytics powered by Microservice & Containerization | Performance optimized Media Analytics Pipelines*