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admmslope

R package for ADMM to solve SLOPE-penalized ordinary least squares regression

beqselection

Bayesian inference of some deterministic computer models

bnn_mcmc_examples

cs145_stanford_project

Identifying the key factors contributing to above-average life expectancy at birth on World Bank's data for countries using Big Query

exercises_earth_engine

first-neural-network

built from scratch

gsoc_abslope_tests_2021

Adding Adaptive Bayesian SLOPE (ABSLOPE) to the SLOPE Package

gsoc_mcmcse_tests_2020

Tests for the GSoC project 'mcmcse: updates, cleanup, and efficiency', under R stats

gsoc_mcmcse_tests_2021

Tests for GSoC project Critical efficiency improvements of mcmcse

hybrid_recommender

An autoencoder based recommender system

ime672_credit_card_fraud_detection

course project for IME 672

inference-on-3-weibull-distribution

innoculation-against-misinformation

Project under the course ALP 308 Experiment Design for Social Impact with Prof. Susan Athey

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

kanga

kushagragpt99.github.io

Personal website of Kushagra Gupta

mcmc

practice exercises in MCMC

metricsmlnotebooks

Notebooks for Applied Causal Inference Powered by ML and AI

mth308_mp1

mth308_mp2

nlp_practice

Implementation of RNN and LSTM using only numpy

reinforcement-learning

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

rl

Pclub summer project on reinforcement learning

satellite_image_segmentation

multi class segmentation of satellite images. Part of the the competition 'Eye in the Sky' in Inter IIT Tech meet 2018

slope

Sorted L1 Penalized Estimation

smoothly-blend-image-patches

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

socialcops

Data analytics task by SocialCops

student-search

A universal cross-platform and modern student search.

surface_water_detection