Suraj Deshmukh's starred repositories
resume.github.com
Resumes generated using the GitHub informations
mmdetection
OpenMMLab Detection Toolbox and Benchmark
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
deep-learning-models
Keras code and weights files for popular deep learning models.
coremltools
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
deep-learning-keras-tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
category_encoders
A library of sklearn compatible categorical variable encoders
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+
tika-python
Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.
sklearn2pmml
Python library for converting Scikit-Learn pipelines to PMML
dist-keras
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
music-auto_tagging-keras
Music auto-tagging models and trained weights in keras/theano
CNN-text-classification-keras
Text Classification by Convolutional Neural Network in Keras
mdlp-discretization
An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
Lung-Diseases-Classifier
Diseases Detection from NIH Chest X-ray data
Lung-Segmentation
Segmentation of Lungs from Chest X-Rays using Fully Connected Networks
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%
jobdescription2jobtitle
classify a job description (or noisy job title) into a ONET job title
CoWin-Vaccine-Slot-Monitoring-and-Auto-Booking
A Python Web Application for Checking vaccine slots by pincodes and auto slot booking.
CoWin-Vaccination-Auto-Schedule
A Python Script to Schedule Vaccination Appointment.