ritwik-bhaduri Goto Github PK

beatdetection

cv

dynamic-processes-on-networks

dynamic-rpocesses-on-networks

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

glmmem

GLMMeM - Generalized Linear Mixed Measurement error Models

iwpaa_3

machine-learning

Here are some of the algorithms for machine learning mostly clustering.....

musicgeneration

Trying to build a neural network able to create music... :D

rc4-stream-cipher

RC4 was one of the most used stream ciphers back in the 90's but due to sum predictability in the output it is becoming obsolete....

ritwik-bhaduri.github.io

seir-fansy

Extended Susceptible-Exposed-Infected-Recovery Model for handling high False Negative Rate and Symptom based administration of diagnostic tests.

seir_misclassification-delhi

Understanding dynamics of COVID-19 in Delhi, India, using compartmental model that incorporates Testing bias and Misclassification.

seirfansy_ifr

text-generation-hands-on

texture-transfer-network

Texture transfer network is a Neural Network approach devised by Dmitry Ulyanov, Vadim Lebedev, Andrea Vedaldi and Victor Lempitsky in 2016, which is extremely useful to synthesize new types of textures (which is extensively used in production of clothings with exclusive designs), as well as being able to work as a style transfer mechanism.