Top 11 Data Science Tools in Machine Learning AI Tools
1TensorFlowTensorFlow
TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
2Azure Machine Learning ServiceAzure Machine Learning Service
Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.
- 3R Caret
R Caret
Documentation for the caret package.
4cnvrg COREcnvrg CORE
Free ML Platform for everyone
5SerpentAISerpentAI
Game Agent Framework. Helping you create AIs / Bots to play any game you own!
6TorchStudioTorchStudio
IDE for PyTorch and its ecosystem
7AI & Analytics EngineAI & Analytics Engine
Accessible AI for everyone. AI-powered machine learning platform to clean, transform and model your data, and deploy and manage ML projects, simply, quickly and cost-effectively.
8LabellerrLabellerr
Labelling made easy-training data to build AI/ML models fast
9MadKudu for ZapierMadKudu for Zapier
Zapier brings the automation, MadKudu the intelligence
10AttriAttri
Attri helps companies become AI-first organizations with research in the AI field, designing and applying AI processes, platforms, and solutions for success.
11SynthicalSynthical
AI-powered collaborative research environment. You can use it to get recommendations of articles based on reading history, simplify papers, find out what articles are trending, search articles by meaning (not just keywords), and so on.
