- Stanford
Highlights
Stars
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
Test IAM Policies in Multi Account Structures in your CI/CD pipeline
A curated list of awesome pytest resources
Collection of awesome Python types, stubs, plugins, and tools to work with them.
Python library and shell utilities to monitor filesystem events.
The strictest and most opinionated python linter ever!
The most cited deep learning papers
A unified framework for machine learning with time series
A repository of papers that have been presented at nPlan's machine learning paper club
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Hyperparameter Experiments with TensorFlow and Keras
This is the Look-A-Like Model Project. This supports only python
open-source feature selection repository in python
Control mouse by moving objects in front of webcam using Tensorflow Object Detection API
Feature Selection using Genetic Algorithm (DEAP Framework)
pyforest - feel the bliss of automated imports
TensorFlow 101: Introduction to Deep Learning
Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
Interesting resources related to XAI (Explainable Artificial Intelligence)
Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
The fast version of DeLong's method for computing the covariance of unadjusted AUC.
A game theoretic approach to explain the output of any machine learning model.
Production infrastructure for machine learning at scale