Name: Ranjeet Bidwe
Type: User
Company: Pune Institute of Computer Technology
Bio: Assistant Professor,
Computer Engineering Department,
Pune Institute of Computer Technology, Pune.
Domain Expert in Machine Learning and Deep Learning
Location: Pune
Blog: www.ranjeetbidwe.in
Ranjeet Bidwe's Projects
Stores documents used by the TensorFlow developer community
Course Files for Complete Python 3 Bootcamp Course on Udemy
Data compression in TensorFlow
A public release of the DREAM dataset, comprising anonymous behavioural data from autism therapy
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
TensorFlow documentation
An example repo for learning purposes
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Detecting Autism Spectrum Disorder in Children With Computer Vision - Adapting facial recognition models to detect Autism Spectrum Disorder
Deep Learning for humans
Lime: Explaining the predictions of any machine learning classifier
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Multi-Joint dynamics with Contact. A general purpose physics simulator.
This repository is meant to collaborate with Platinum colleges Faculty
Traducción española de es.py4e.com y el libro de texto gratuito de Python 3.
An Open Source Machine Learning Framework for Everyone
A new approach to video compression by refining the shortcomings of conventional approach and substituting each traditional component with their neural network counterpart. Our proposed work consists of motion estimation, compression and compensation and residue compression, learned end-to-end to minimize the rate-distortion trade off. The whole model is jointly optimized using a single loss function. Our work is based on a standard method to exploit the spatio-temporal redundancy in video frames to reduce the bit rate along with the minimization of distortions in decoded frames. We implement a neural network version of conventional video compression approach and encode the redundant frames with lower number of bit.
Code for the paper 'Video Gesture Analysis for Autism Spectrum Disorder Detection', ICPR 2018