Roshan Ram's starred repositories
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
BackgroundMusic
Background Music, a macOS audio utility: automatically pause your music, set individual apps' volumes and record system audio.
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
awesome-mlops
A curated list of references for MLOps
Soundflower
MacOS system extension that allows applications to pass audio to other applications. Soundflower works on macOS Catalina.
pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
data-science-interview-questions-and-answers
Data science interview questions with answers. Not ideally (yet)
Integrated-Gradients
Attributing predictions made by the Inception network using the Integrated Gradients method
cmu-10721-philosophy-machine-intelligence
Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".
Rubiks-Cube-Reinforcement-Learning
Solving a Rubik's Cube and 15 Puzzle using the Deep Reinforcement Learning and Search
pytorch-implementations
A collection of paper implementations using the PyTorch framework
fall-2021-hw2-hammer
fall-2021-hw2-hammer created by GitHub Classroom
github-recitation
This repository is the base repository that students will fork and use for the git / github recitation
AuxMerge
AuxMerge is a web app that allows Spotify users to create rooms with their friends and generates a playlist that is a fusion of everyone's music tastes. We created unique algorithms to efficiently analyze large amounts of Spotify data and determine what songs would maximize the group listening experience.