Suraj Deshmukh

mmdetection. OpenMMLab Detection Toolbox and Benchmark

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.

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

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

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

jobdescription2jobtitle. classify a job description (or noisy job title) into a ONET job title

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

BBC-Dataset-News-Classification. Jupyter Notebook

ELL. Embedded Learning Library

webdnn. The Fastest DNN Running Framework on Web Browser

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

unet. unet for image segmentation

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%

sklearn2pmml. Python library for converting Scikit-Learn pipelines to PMML

category_encoders. A library of sklearn compatible categorical variable encoders

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

resume.github.com. Resumes generated using the GitHub informations

mdlp-discretization. An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad

segnet. A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

CNN-text-classification-keras. Text Classification by Convolutional Neural Network in Keras

ai-on.org. AI•ON projects repository and website source.

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

deep-learning-keras-tensorflow. Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-models. Keras code and weights files for popular deep learning models.

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

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+

headlines. Automatically generate headlines to short articles

squeezenet_demo. Python

show_and_tell.tensorflow. Jupyter Notebook

scikit-multilearn. A scikit-learn based module for multi-label et. al. classification

elephas. Distributed Deep learning with Keras & Spark

keras. Deep Learning for humans

cannon-algorithm-in-c-using-mpi. C

tweepy-cassandra. Python

Hyperquick-Sort. C