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I'm Sudhanva Lalit.

Sudhanva Lalit's Projects

ai4np icon ai4np

Lecture materials and activities for Michelle Kuchera's lectures at AI4NP

bayes2019 icon bayes2019

This repository contains the learning material for the Nuclear TALENT course Learning from Data: Bayesian Methods and Machine Learning, in York, UK, June 10-28, 2019.

buqeye-emulators icon buqeye-emulators

Supplemental Material for "BUQEYE Guide to Projection-Based Emulators in Nuclear Physics"

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

dstar icon dstar

routines for computing neutron star structure and evolution

fresco icon fresco

Scattering code FRESCO for coupled-channels calculations

jax icon jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

koonin-problems icon koonin-problems

Steven Koonin Computational physics exercises and projects done using python. This is a work in progress

machine-learning-interview icon machine-learning-interview

Machine Learning Interviews from FAAG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

ml_projects icon ml_projects

A list of projects on Machine Learning. Some are complete, others are in progress. These are mostly based on pandas, scikit-learn and tensorflow

pandas icon pandas

Simple problems and projects in python pandas.

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