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annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

compare_ml

Compared different ml classification models using the classic titanic data

cs7641

cuda-dem

GPU accelerated DEM

cudasph

A simple SPH program written by cuda

datasciencebasics

Intro to Pandas (and numpy arrays) in Python

flask-database

fronttrack-surface

lift_force

Numerically determine the intruder lift force associdated with horizontal slip velocity

llm_paper_writing

Generate scholarly content for academic papers in the field of granular segregation

llm_resume

identify keywords from job description to help improve your resume

me5013

High Performance Computing

mfix

ml_cicd_aws

ml_collections

ml_template

End to End deep learning project

packing-generation

Hard-sphere packing generation with the Lubachevsky–Stillinger, Jodrey–Tory, and force-biased algorithms and packing post-processing.

pandasbasics

pinn_granular_segregation

quicksort

sedfoam

SedFoam solver for OpenFoam toolbox

so-vits-svc

SoftVC VITS Singing Voice Conversion

sphere

3D discrete element method algorithm with optional fluid coupling, written in CUDA C

trainingtracks

Materials for training tracks for continua media - OpenFOAM, vortex method, and other