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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Visualizer for neural network, deep learning and machine learning models

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Low-code framework for building custom LLMs, neural networks, and other AI models

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

Structured data extraction, instruction calling and agentic workflows with ML, LLM and Vision LLM

Your Friendly Open-Source Gen-AI Platform

The machine learning toolkit for time series analysis in Python

a delightful machine learning tool that allows you to train, test, and use models without writing code

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

Leverage hallucinations from Large Language Models (LLMs) for novelty-driven explorations.

CosmiQ Works Geospatial Machine Learning Analysis Toolkit

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

A fast xgboost feature selection algorithm

Open source reference implementation of ITU-T P.1204.3