neerukulhari Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

advancedprogramming_dssc22

arxivdigest

ArXiv Digest and Personalized Recommendations using Large Language Models

best-of-atomistic-machine-learning

🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.

cloud-hpc-hackathon-2021

Cloud Hackathon for Arm-based HPC with AWS and Arm

daily-dose-of-data-science

A collection of code snippets from the publication Daily Dose of Data Science on Substack: https://avichawla.substack.com.

dataframe

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

exercise_julia

flare

An open-source Python package for creating fast and accurate interatomic potentials.

gitcheatsheet

Git Cheat Sheet

hands-on-reinforcement-learning-with-python

Hands-On Reinforcement Learning with Python, published by Packt

latex-resume

My resume in latex. Fork and edit to make your own resume.

mdcthermalc

A software to calculate thermal conductivity quickly and accurately

mhpc-p2.8-project

P2.8_best_22_23 group project for the ljmd optimization and parallelization.

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

neerukulhari

Config files for my GitHub profile.

nn-zero-to-hero

Neural Networks: Zero to Hero

phoebe

A high-performance framework for solving phonon and electron Boltzmann equations

practical-python

Practical Python Programming (course by @dabeaz)

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

python_scratch

qiskit-global-summer-school-2023

scientificpython_diploma23

turborvb

Quantum Monte Carlo package, TurboRVB

vasp_dielectric_function

Shell scripts to facilitate data extraction from output files from VASP. More specifically, it aims to extract the imaginary and real part of the dielectric function for calculation of optical properties of solids

wien2k-docs

wtfpython

What the f*ck Python? 😱