KRISHNA KESARI's repositories
azure-sdk-for-python
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
azuretranslate
Python script using Azure Translator to detect and translate either typed phrase or document.
causal_inference
finding causal relationships, inference and statistical analysis using Python
CognitiveDocumentTranslationApp
Automatically kick start translation upon arrival of new documents in Blob Store, keep links and records of original & translated documents in Cosmos DB and display information in a Spring Boot Web App in Azure App Service
coursera-machine-learning-engineering-for-prod-mlops-specialization
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
data-engineering-book
Accumulated knowledge and experience in the field of Data Engineering
Disaster-Map
Mapbox-React
Flask-AI-WebApp
A web app that extracts and translates text from handwritten notes. Created with Flask and Azure Cognitive Services. Hosted on Azure App Service.
Image-Classification---PyTorch
Classify images using MNIST
PySpark-for-Data-Algorithms
To explore various PySpark way to express data analytics and algorithms
Python-Baseball
Building Baseball Data Visualizations with Python
python-examples
Examples of using Python with Posit Connect
PyTorch-Diffusion
Exploring Diffusion Models using PyTorch including stable diffusion
pytorch-lmu
A PyTorch implementation of Legendre Memory Units (LMUs) and it's FFT variant
pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Recurrent-Neural-Networks-from-scratch-using-PyTorch
LSTM, RNN and GRU implementations using Pytorch
sample-django-datatables
Django - Datatables Sample | AppSeed
Streamlit-Image-Classification
Classiy images using Keras and Deploy as python streamlit app
Streamlit_Course
Here you can find all the material for the O'Reilly Streamlit Course
Tensorflow-Methods-2.0
Practicing Tensorflow 2.0 on wide variety of data using different approaches & methods
TensorFlow2.0-Examples
🙄 Difficult algorithm, Simple code.