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Kunal Ranjan's Projects

forge icon forge

Basic experiment framework for tensorflow.

fyp16 icon fyp16

Breaking News Detection on twitter using Locality Sensitive hashing & Machine Learning Filtering Methods

ganhacks icon ganhacks

starter from "How to Train a GAN?" at NIPS2016

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

handson-ml3 icon handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

iitk-courses icon iitk-courses

Contains all the assignments (mostly solved) for all compulsory CSE courses undertaken at IITK, and a few other courses (department electives, open electives and humanities electives - HSS)

im2latex icon im2latex

Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow

lime icon lime

Lime: Explaining the predictions of any machine learning classifier

mathstudy icon mathstudy

Info on resources for studying math, stats, CS, etc.

ml-youtube-courses icon ml-youtube-courses

A repository to index and organize the latest machine learning courses found on YouTube.

placement_material icon placement_material

A comprehensive collection of placement interview materials shared by IIT Kanpur seniors to help students excel in their job search. Valuable insights, tips, and strategies for technical subjects, aptitude tests, problem-solving, and interview preparation. Boost your confidence and increase your chances of securing desirable job offers.

probability_cheatsheet icon probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

sgan-modified icon sgan-modified

Social GAN : Socially Acceptable Trajectories with Generative Adversial Networks

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