#
Starred repositories
Concise, consistent, and legible badges in SVG and raster format
Learn quantum computing interactively with PennyLane
[AAAI 2024] UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation. UCMCTrack achieves SOTA on MOT17 using estimated camera parameters.
A complete daily plan for studying to become a machine learning engineer.
A comprehensive collection of recent papers on graph deep learning
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
List of Computer Science courses with video lectures.
Python interactive dashboards for learning data science
a list of quantum open hardware projects.
Contains the codebase for Quantum Natural Language Generation project
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
jaorduz / machine-learning-for-physicists
Forked from FlorianMarquardt/machine-learning-for-physicistsCode for "Machine Learning for Physicists 2020" lecture series
👩🏿💻 Labs for OpenIntro Statistics using Rguroo
👩🏿💻 OpenIntro Labs in R using the tidyverse design philosophy, grammar, and data structures
A template for creating a PreTeXt project that runs in GitHub Codespaces
👩🏻🏫 Slides for OpenIntro Statistics
Public repository for Abstact Algebra Theory and Applications
The unofficial python package that returns response of Google Bard through cookie value.
PreTeXt: an authoring and publishing system for scholarly documents
Classical algorihtm for cryptography
Quantum computing examples with QISKit.
LaTeX samples for NSF Research.gov Proposal Submission. For more information about Research.gov Proposal Submission visit https://www.research.gov/research-web/content/aboutpsm Feedback [email protected]
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Implementing https://arxiv.org/abs/1612.02806
Source for The Tensor Network open-source review article