Fotini Athanasopoulou's repositories
linearboost-classifier
LinearBoost Classifier is a rapid and accurate classification algorithm that builds upon a very fast, linear classifier.
big-ann-benchmarks
Framework for evaluating ANNS algorithms on billion scale datasets.
geant4
Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303
cudf
cuDF - GPU DataFrame Library
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
self-rewarding-lm-pytorch
Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
scikit-learn
scikit-learn: machine learning in Python
root
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
TMVA
Toolkit for Multivariate Analysis with ROOT
HEPML-LivingReview
Living Review of Machine Learning for Particle Physics
cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
cmssw
CMS Offline Software
AIPND-revision
Revision to the code and associated files for the AI Programming with Python Nanodegree Program
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
wdl
Workflow Description Language - Specification and Implementations
handson-ml2
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.
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
MachineLearning
Basic Machine Learning and Deep Learning
data-science-from-scratch
code for Data Science From Scratch book
hep-resources
Extended online version of the PDG Particle Physics Information review.
binderhub
Run your code in the cloud, with technology so advanced, it feels like magic!
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
codespaces-jupyter
Explore machine learning and data science with Codespaces
ExtractGPT
Attribute Value Extraction using Large Language Models
geodata-in-python-oct2023
Learn the basics of geospatial data theory, covering raster, vector, and related concepts. Gain hands-on experience with Python libraries for geospatial data.
cpython
The Python programming language