Stars
Feature engineering package with sklearn like functionality
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Open-source code for paper "Dataset Distillation"
A curated list of awesome papers on dataset distillation and related applications.
Open-source demos hosted on Dash Gallery
A library for efficient similarity search and clustering of dense vectors.
Lasagne recipes: examples, IPython notebooks, ...
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
This repository contains demos I made with the Transformers library by HuggingFace.
A topic-centric list of HQ open datasets.
A course in reinforcement learning in the wild
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Pape…
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Solutions of Reinforcement Learning, An Introduction
Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).
Python Data Science Handbook: full text in Jupyter Notebooks
Exercises and solutions to Stanford CS229 Machine Learning in Python
AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
Machine Learning algorithms for spatial and spatiotemporal data
Multiscale Geographically Weighted Regression (MGWR)