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Amazon
- Aachen, Germany
- @ervindervishaj
Starred repositories
A Jekyll plugin to use SQLite databases as a data source.
An advanced parallelization library for PHP, enabling efficient multitasking, optimizing resource use, and application responsiveness through multiple CPU threads.
π€ Machine Learning Summer School Guide
Everything about note management. All in Zotero.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Plain python implementations of basic machine learning algorithms
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
TigerLily: Finding drug interactions in silico with the Graph.
An open access book on scientific visualization using python and matplotlib
A collection of research papers on decision, classification and regression trees with implementations.
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
Git extensions to provide high-level repository operations for Vincent Driessen's branching model.
Layers Outputs and Gradients in Keras. Made easy.
A unified framework for machine learning with time series
massively parallel experimentation with Jupyter and AWS Lambda ππ©π
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
A collection of important graph embedding, classification and representation learning papers with implementations.
A repository of pretty cool datasets that I collected for network science and machine learning research.
A curated list of community detection research papers with implementations.
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
π‘ Organized Resources for Deep Learning Researchers and Developers
scikit-learn: machine learning in Python
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.