Diagrams of concepts in physics/chemistry/ML

Speaking truth without fear

🚀 An awesome list of curated Nano Banana pro prompts and examples. Your go-to resource for mastering prompt engineering and exploring the creative potential of the Nano banana pro(Nano banana 2) AI…

12 Lessons to Get Started Building AI Agents

Latest versions of open access climate visuals

Public repository for the PC-JeDi project

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

Graph Machine Learning course, Xavier Bresson, 2023

Source code for 3-Minute Data Science Videos

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

🧠 A collection of notebooks to organize my thoughts as I dive into deep learning

Implementation of popular ML algorithms from scratch

Kolmogorov Arnold Networks

PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

Mastering-Python-Data-Analysis

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Deep Learning Fundamentals -- Code material and exercises

PyTorch Tutorial for Deep Learning Researchers

A resource for learning about Machine learning & Deep Learning

Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)

School 2023

Reusable manim components

Lab Materials for MIT 6.S191: Introduction to Deep Learning

MLHEP'19 slides and notebooks

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Diffusion model papers, survey, and taxonomy