Pinned Repositories
02456-deep-learning-with-PyTorch
Exercises and supplementary material for the deep learning course 02456 using PyTorch.
aizardar
Config files for my GitHub profile.
aizardar.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
amld-pytorch-workshop
PyTorch Tutorial - Workshop at the AMLD 2020
AMLD_2020
annotated_latex_equations
Examples of how to create colorful, annotated equations in Latex using Tikz.
AugLy
A data augmentations library for audio, image, text, and video.
blogs
Kinetic-Monte-Carlo-code
Kinetic-Monte-Carlo code implemented in Python to investigate the hydrogen diffusion in Fe-Mn-Al alloys.
scipy-2017-sklearn
Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
aizardar's Repositories
aizardar/Kinetic-Monte-Carlo-code
Kinetic-Monte-Carlo code implemented in Python to investigate the hydrogen diffusion in Fe-Mn-Al alloys.
aizardar/aizardar
Config files for my GitHub profile.
aizardar/aizardar.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
aizardar/annotated_latex_equations
Examples of how to create colorful, annotated equations in Latex using Tikz.
aizardar/AugLy
A data augmentations library for audio, image, text, and video.
aizardar/blogs
aizardar/Contributions_to_RWDS_website
In this repository, you can find my contributions to the Real World Data Science website (https://realworlddatascience.net/), a project from the Royal Statistical Society.
aizardar/cs-video-courses
List of Computer Science courses with video lectures.
aizardar/deep_learning_tuning_playbook_google_research
A playbook for systematically maximizing the performance of deep learning models.
aizardar/Dimensionality-reduction-using-t-SNE
This repository contains files to employ t-SNE to visualize various local environments of atoms in L10-FeNi.
aizardar/dl-visuals
Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.
aizardar/ETH-Intro-Machine-Learning-project-2020
aizardar/fastpages
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
aizardar/FCC-Supercell-Generator
Generates a NxNxN FCC supercell and assigns random first nearest neighbor couplings
aizardar/Fraud-detection-using-ML
Feature engineering techniques to improve the performance of ML models in Fraud detection
aizardar/gradio
Create UIs for your machine learning model in Python in 3 minutes
aizardar/jupytext
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
aizardar/mass-spectrometry-analysis-pipeline-
MS analysis pipeline using matchms
aizardar/matchms
Python library for processing (tandem) mass spectrometry data and for computing spectral similarities.
aizardar/microsoft-learning-paths-databricks-notebooks
Contains notebooks used in the Microsoft Azure Databricks Learning Paths modules.
aizardar/mslearn-dp100
Lab files for Azure Machine Learning exercises
aizardar/Python-scripts
Some useful python scripts
aizardar/PythonHPC
PythonHPC
aizardar/pytorch-Deep-Learning
Deep Learning (with PyTorch)
aizardar/pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
aizardar/scikit-learn
scikit-learn: machine learning in Python
aizardar/umap
Uniform Manifold Approximation and Projection
aizardar/Visualization-training
aizardar/W2Jij
Calculate Jij with W90 output files
aizardar/WhirlwindTourOfPython
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"