Showing 161-180 of 438 projects
Snips NLU is a Python library for extracting meaning from text using natural language processing and machine learning.
A transactional, relational-graph-vector database that uses Datalog for query, designed for AI and ML use cases.
This repository is likely a library or CLI tool for machine learning and AI development in Python.
A no-code machine learning exploration tool that lets developers learn about ML without coding.
Run LLMs (Large Language Models) with the MLX (Machine Learning Exploration) framework.
A Chinese translation of the book 'Hands-On Machine Learning with Scikit-Learn and TensorFlow' for developers interested in machine learning and AI tools.
A modular, high-performance web-user-interface for Stable Diffusion, with an emphasis on ease of use and extensibility.
An open-source library implementing machine learning algorithms in R for data analysis and visualization.
Polyaxon is an MLOps platform for managing and orchestrating the machine learning lifecycle.
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
An open-source, modern-design AI training tracking and visualization tool with support for various ML frameworks.
A machine learning course from the Higher School of Economics in Russia, focused on Jupyter Notebook examples.
Interactive tool to understand the behavior of machine learning models in an extensible, framework-agnostic way.
A comprehensive machine learning and data science course with Jupyter Notebook materials.
Ploomber is a fast and versatile tool for building and deploying data pipelines that can be used with a variety of AI and ML tools.
Alink is a machine learning algorithm platform built on Apache Flink, developed by Alibaba's PAI team.
Handwritten notes for Andrew Ng's Coursera Machine Learning course, a popular resource for learning AI/ML.
A collection of Jupyter Notebook files focused on data visualization and machine learning concepts.
A Jupyter Notebook-based resource covering the essentials of probability and statistics, relevant for machine learning.
A powerful debugging, monitoring and visualization tool for Python Machine Learning and Data Science workflows.
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