M-68
M-68 aims to encourage independent student research by collaboration with organizations and people in academia globally.
1 AU
Pinned Repositories
ActivationFunctions
Implementing activation functions from scratch in Tensorflow.
awesome-sonification
Curated list of audiovisual projects
context_rank
Semantyc is a contextual mobile search engine that is user/ "People" centric and returns results to queries which is relevent and personalized to the user and is based on the meaning of the query of the user rather than the keywords in the query.
corona_prophet
We are looking to predict, visualize and act to contain the 2019 n-Corona Virus, through the power of data science.
exoplanet-ml
Machine learning models and utilities for exoplanet science.
landing_page
m-68.github.io
https://m-68.github.io
macterial
A mac inspired GTK+ theme based on Material design
meta_resource
Resources, by the people, of the people, for the people.
precourse
A repo for the pre-course work at home exercises
M-68's Repositories
M-68/macterial
A mac inspired GTK+ theme based on Material design
M-68/ActivationFunctions
Implementing activation functions from scratch in Tensorflow.
M-68/corona_prophet
We are looking to predict, visualize and act to contain the 2019 n-Corona Virus, through the power of data science.
M-68/meta_resource
Resources, by the people, of the people, for the people.
M-68/context_rank
Semantyc is a contextual mobile search engine that is user/ "People" centric and returns results to queries which is relevent and personalized to the user and is based on the meaning of the query of the user rather than the keywords in the query.
M-68/exoplanet-ml
Machine learning models and utilities for exoplanet science.
M-68/landing_page
M-68/m-68.github.io
https://m-68.github.io
M-68/awesome-sonification
Curated list of audiovisual projects
M-68/INSPIRE
IIT-B TECHFEST '20
M-68/precourse
A repo for the pre-course work at home exercises
M-68/data
M-68/flownet2-pytorch
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks