Manishanker Talusani (manishanker)

manishanker

Geek Repo

Location:Bangalore

Home Page:manishankert.blogspot.in

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Manishanker Talusani's repositories

Statistics_ML_26Aug

This repo holds all the code that is relevant to Statistics and ML for Aug 2019 batch

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ai-job-title-area-classification

Classification of job titles into categories, using different ML techniques

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autokeras

An AutoML system based on Keras

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COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

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Covid-19-Statistics

Covid-19 Italian statistics using Scala, Spark, InfluxDB & Grafana - Maven Project

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deep-learning-guide

An evolving guide to learning Deep Learning effectively.

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deep-learning-model-convertor

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

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DeepLearningExamples

Deep Learning Examples

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ECG-Arrhythmia-classification

ECG arrhythmia classification using a 2-D convolutional neural network

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fontastic

Deep Learning to classify fonts

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Grokking-Deep-Learning

this repository accompanies the book "Grokking Deep Learning"

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handwritten-text-recognition

An implementation of HTR using TensorFlow 2.0

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LSTM-Human-Activity-Recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier

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M4-methods

Data, Benchmarks, and methods submitted to the M4 forecasting competition

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mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

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PayloadIdentifier

Avoid malicious payloads with machine learning!

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PreSumm

code for EMNLP 2019 paper Text Summarization with Pretrained Encoders

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PRML

PRML algorithms implemented in Python

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pyLDAvis

Python library for interactive topic model visualization. Port of the R LDAvis package.

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pyspark-examples

Code examples on Apache Spark using python

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sentence-transformers

Sentence Embeddings with BERT & XLNet

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test

help project

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TextileDefectDetection

Implementation of the paper: Defect Detection in Plain Weave Fabrics by Yarn Tracking and Fully Convolutional Networks

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tools

Codelabs management & hosting tools

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