Stars
A toolkit that streamlines and automates the generation of model cards
Distributed Asynchronous Hyperparameter Optimization in Python
Learn how to create Expanding/collapsing FAQ tabs
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Tools to Design or Visualize Architecture of Neural Network
Data science interview questions and answers
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Bayesian Data Analysis course at Aalto
MLOps tutorial using Python, Docker and Kubernetes.
Code for the book Grokking Algorithms (https://www.amazon.com/dp/1633438538)
Used Alternating Least Square method to build a recommender system in Spark [PySpark, Databricks, Python, Machine Learning]
Robust evasion attacks against neural network to find adversarial examples
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
The FGSM, DeepFool and CW Adversarial Attacks with TensorFlow 2.0
My exploration of Adversarial Examples in Neural Networks
PyTorch implementation of adversarial attacks [torchattacks]
A collection of machine learning examples and tutorials.
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
🏋️ Python / Modern C++ Solutions of All 3405 LeetCode Problems (Weekly Update)
Data Structures and Algorithms in Python