6076paras's repositories
AEACuS
Consumer-Level Tools for General Collider Data Analysis, Display, and Optimization
AIrsenal
Machine learning Fantasy Premier League team
al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
astronomy-to-data-science
resources for transitioning from academic astronomy to industry data science
awesome-equivariant-network
Paper list for equivariant neural network
coding-interview-university
A complete computer science study plan to become a software engineer.
cpp-projects
C++ Programming & Introduction to Computer Science. You can find my Lab Assignments codes, interesting C++ programs, and lots of different resources to start learning coding with C++.
cv
Print-friendly, minimalist CV page
deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
ddg-exercises
Assignment skeleton for course on Discrete Differential Geometry (15-458/858)
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
devika
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
GML2023
Graph Machine Learning course, Xavier Bresson, 2023
GNNPapers
Must-read papers on graph neural networks (GNN)
graphtransformer
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
keras-io
Keras documentation, hosted live at keras.io
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
manim
Animation engine for explanatory math videos
neural-graphs
Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
puma
puma - Plotting UMami Api
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
spinningup
An educational resource to help anyone learn deep reinforcement learning.
symmetry_breaking_diffusion_models
Official repository of "Spontaneous symmetry breaking in generative diffusion models"
umami-preprocessing
UPP: Umami PreProcessing