Suraj Deshmukh (suraj-deshmukh)

suraj-deshmukh

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Location:Pune

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Suraj Deshmukh's starred repositories

mmdetection

OpenMMLab Detection Toolbox and Benchmark

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CoWin-Vaccine-Slot-Monitoring-and-Auto-Booking

A Python Web Application for Checking vaccine slots by pincodes and auto slot booking.

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CoWin-Vaccination-Auto-Schedule

A Python Script to Schedule Vaccination Appointment.

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tika-python

Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.

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flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

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Lung-Segmentation

Segmentation of Lungs from Chest X-Rays using Fully Connected Networks

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Lung-Diseases-Classifier

Diseases Detection from NIH Chest X-ray data

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jobdescription2jobtitle

classify a job description (or noisy job title) into a ONET job title

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coremltools

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

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ELL

Embedded Learning Library

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webdnn

The Fastest DNN Running Framework on Web Browser

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tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

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unet

unet for image segmentation

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Object-detection-with-deep-learning-and-sliding-window

Introduces an approach for object detection in an image with sliding window. The repository contains three files, make_data.py reads the image in gray scale and converts the image into a numpy array. The labels are also appended based on the file name. In this case, if the file name starts with "trn", then 1 is appended else 0. Finally, all the images and labels are saved into .npy file. The test-model-1.py file loads the images and converts the labels into two categories as we are doing binary classification of images. The model is built using keras with theano as backend. In this case, the best training accuracy was 80% since the data was just 500 images and the testing accuracy was 67%

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sklearn2pmml

Python library for converting Scikit-Learn pipelines to PMML

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category_encoders

A library of sklearn compatible categorical variable encoders

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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resume.github.com

Resumes generated using the GitHub informations

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mdlp-discretization

An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad

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segnet

A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

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CNN-text-classification-keras

Text Classification by Convolutional Neural Network in Keras

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ai-on.org

AI•ON projects repository and website source.

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dist-keras

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

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deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

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deep-learning-models

Keras code and weights files for popular deep learning models.

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music-auto_tagging-keras

Music auto-tagging models and trained weights in keras/theano

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Neural-Style-Transfer

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+

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headlines

Automatically generate headlines to short articles

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