Name: Robin Reni
Type: User
Company: Data Scientist , IQVIA
Bio: I am a person with the perception of learning new algorithms, coding a challenging life, deploying a stable career, and execute my impossible goals.
Twitter: robinreni96
Location: India
Robin Reni's Projects
Minimal examples of data structures and algorithms in Python
Its an open source code to easily preprocess your images for mapping faces and convert a tfrecord , csv file to train your model.
This notebook code is written based upon the interest in Kaggle Competition (https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection ) using newly launched OctConv (https://ai.facebook.com/blog/octconv-a-flexible-efficient-alternative-to-standard-convolution/) by Facebook
The name of the ChatBot is PyBot because I love to do anything with python and made the whole project with it.This PyBot can learn reply from you intially and can reply to you on the next ocuurence .The main feature is it is a BlogBot where it contains a blogpage Database and it can reply to user query regarding to their blog.
This is a generic convolutional model which can train a set of images and predict a output of it.
Basic Algorithms and Java Algorithms and Data Structures
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Its a implementation of DeepFont : Identify Your Font from An Image using Keras
A collection of useful .gitignore templates
Docker image code for deploying JupyterHub in Heroku
Personal Blog Website
This notebook was curated as a part of Severstal Steel Detection Challenge by Kaggle . It gives an starter code for coding multiclass classifier using Pytorch
This notebook is a tutorial for image semantic segmentation using Segnet and DeepLabv3 in Pytorch . Its a starter code as a part of Severstal Steel Detection https://www.kaggle.com/c/severstal-steel-defect-detection in Kaggle .
Signature Classification using Siamese Neural Network
Smart India Hackathon
This is a very simple autoencoder which autoencodes the mnist dataset.
This repo contains the code biolerplate for Tensorflow2.0+ Image classifier with Keras Model and TFRecord support.
This python script will generate n pages of text with bbox and its ground truth labels. Also it supports various background colors, fonts etc. Additionally it can export the dataset as tfrecord