Amit Dingare's repositories

abtesting

Repo of AB Testing Material

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Autoencoder

This repo contains Autoencoder code

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deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

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100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

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azure-cosmos-graph

CosmosDB Graph Database example

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CGClustering

This is a repo for a take-home coding assignment.

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Clustering_Demo

code repo of clustering demo

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CustSegmentation

This repo keeps customer segmentation example code and documents

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CVAE_Simplified

Simplified code of a Convolutional Variational Autoencoder

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jsd-mlflow-examples

This is a collection of MLflow examples that you can directly run with mlflow command

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keras-adversarial-autoencoders

Experiments with Adversarial Autoencoders using Keras

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keras-ml

repo for keras ml code

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kerasontabulardata

Keras on tabular data

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LSH_Streamlit

code repo for finding near similar files

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Minimally-Sufficient-Pandas

There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.

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ml-class

Materials for class on machine learning/deep learning using scikit-learn, tensorflow and keras

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mlflow

Open source platform for the machine learning lifecycle

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parsevision

Parse vision is an open source tool to visualise what OCR is parsing in a PDF document to help developers and product teams identify if the parsing has missed some vital information from the document.

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post-tuto-deployment

Repo pour le blog post avec Ahmed

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PrinCompApplication

This repo keeps code for Principal Component Application

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pyroperator

Code repo for Pyroperator

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PythonFullThrottle

Files for my Safari Live Training Course "Python Full Throttle" May 30, 2019

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tabextract

code repo for table extract using yolov8s-table-extraction model by ultalyticsplus

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TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi

A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!

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Timeseries

Timeseries from the Ground Up

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