A toolkit to help understand models and enable responsible machine learning.
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Notebooks and code for the book "Introduction to Machine Learning with Python".
jd-gui is a GitHub repository or organization with source code, releases, documentation, or project resources.
A python library for doing approximate and phonetic matching of strings.
Chinese Words Segmentation Utilities.
Chinese Words Segmentation Utilities.
Code for interactive simulacra of human behavior [[arxiv]](https://arxiv.org/abs/2304.03442).
Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
Jupyter notebook is a web-based notebook environment for interactive computing.
Code for the Kaggle acquire valued shoppers challenge.
Winning solution for the Galaxy Challenge on Kaggle.
A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.
An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.
Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
A python package that integrates an LLM copilot inside the keras model development workflow.
Easy-to-use, scalable hyperparameter optimization framework.
A series of open-source MoE language models by Moonshot AI for agentic tasks. opensource.
A library of statistical distribution sampling and transducing functions.
Koç University Deep Learning Framework.
Just a simple implementation of K-Nearest Neighbors algorithm using with a bunch of similarity measures.
A Natural Language Processor in JS.
Deep learning framework written in Kotlin.
Machine Learning Toolkit for Kubernetes.
Machine Learning Pipelines for Kubeflow.