Manishanker Talusani (manishanker)

manishanker

Geek Repo

Location:Bangalore

Home Page:manishankert.blogspot.in

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Manishanker Talusani's repositories

statistics_ML_jan_2020

This repo holds all code examples shared in Statistics and ML class in Jan 2020 batch

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octopuslabs-test

This repo contains code that was written for the test given by Octopuslabs

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100-Days-Of-ML-Code

100 Days of ML Coding

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amazon-forecast-samples

Notebooks and examples on how to onboard and use various features of Amazon Forecast.

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awesome-AutoML

Curating a list of AutoML-related research, tools, projects and other resources

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awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

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azure-functions-pytorch-image-identify

Repo containing an end to end example of an image identification app running on Azure Functions and showing capabilities like Remote Build and Azure Files support

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examples

TensorFlow examples

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Flask-AppBuilder

Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/

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haystack

:mag: Transformers at scale for question answering & search

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imagenet

imagenet images repository

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Machine-Learning-Concepts

Machine Learning Concepts with Concepts

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mlflow

This repo contains all the material required to understand how to track your experiments using MLflow

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MLOps-Databricks

MLOps using Azure Databricks, Azure DevOps and Azure ML Services

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ObstructionRemoval

[CVPR 2020] Learning to See Through Obstructions

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onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

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Spark-with-Python

Fundamentals of Spark with Python (using PySpark), code examples

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splat

Motion-controlled Fruit Ninja clone using Three.js & Tensorflow.js

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stats_ml_jun2020

Repo with all the code discussed in Stats ML class 2020

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tales-of-1001-data

A repository for exploring data science questions and listening to the stories that data has to tell

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TensorFlowJS

Demos created using TensorFlow.JS

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