Framework Tools
🤖
Semantic Kernel
Free
Semantic Kernel is an innovative open-source framework developed by Microsoft, empowering developers to seamlessly integrate Large Language Models (LLMs) into a wide range of applications. Suitable for experienced developers, data scientists, and AI engineers, it offers extensive support for plugins, memory management, and AI planning across Python, C#, and Java environments, unlocking new possibilities for intelligent application development.
🤖
TensorFlow
Free
TensorFlow is a comprehensive open-source machine learning framework that enables developers and data scientists to build, train, and deploy scalable and efficient models. Used widely by researchers, engineers, and data analysts at top organizations, it supports a wide range of platforms including cloud, mobile, and edge devices with CPU, GPU, and TPU hardware acceleration. This flexibility makes TensorFlow ideal for applications in image recognition, natural language processing, and predictive analytics.
🤖
PyTorch
Free
PyTorch is a deep learning framework used by developers and researchers for AI model development, with key features including dynamic computation graphs and strong GPU acceleration. It supports various use cases like computer vision and natural language processing. Researchers and engineers utilize PyTorch for rapid prototyping and production deployment of AI models.
🤖
Keras
Free
Keras is a high-level Python deep learning API used by data scientists and developers for intuitive model building and fast experimentation. It offers seamless CPU and GPU compatibility, ideal for natural language processing and computer vision use cases. Data professionals utilize Keras for its ease of use and flexibility.
🤖
Scikit-learn
Free
Scikit-learn is a Python machine learning library used by data scientists and developers for classification, regression, clustering, and dimensionality reduction. It offers simple and efficient tools with consistent APIs, ideal for data analysis and modeling use cases. Data professionals utilize Scikit-learn for its key features and versatility.
🤖
LangChain
Free
LangChain is an open-source framework that enables developers to build LLM-powered applications with advanced features like chains and retrieval-augmented generation pipelines. It is used by AI engineers and researchers for production workflows, supporting various use cases such as chatbots and language translation. Key features include agents and memory.
🤖
LlamaIndex
Free
LlamaIndex is a data framework that connects large language models to external data sources, enabling advanced RAG pipelines and intelligent query engines for developers and researchers. It features document indexing and retrieval capabilities, supporting various use cases such as question answering and text classification.
🤖
LangGraph
Free
LangGraph is an open-source framework that enables developers to build complex stateful AI agent applications with graph-based workflows, allowing for flexible and controllable execution flows. Data scientists and AI engineers use LangGraph to model and implement advanced multi-actor systems, making it particularly suitable for applications in autonomous systems, robotics, and intelligent agents. Its graph-based approach simplifies the development of dynamic workflows and stateful interactions.
🤖
Hugging Face Transformers
Free
Hugging Face Transformers is an open-source library used by developers and researchers for NLP, vision, and audio tasks. It provides thousands of pretrained models with simple APIs for fine-tuning and deploying state-of-the-art AI models. Key features enable use cases like text classification and language translation.
🤖
ONNX
Free
ONNX is a framework used by developers and data scientists to enable seamless model deployment across various runtimes and hardware platforms. It allows for interoperability between AI frameworks, supporting key features like flexible model conversion and optimization. This facilitates use cases such as cross-platform model sharing and collaborative development.
🤖
Ray
Free
Ray is an open-source framework that enables data scientists and engineers to scale Python AI and ML workloads across clusters, featuring built-in libraries for training, tuning, and serving models. It is used by machine learning practitioners and researchers for distributed computing and model deployment. Ray supports various use cases including model training and hyperparameter tuning.
🤖
JAX
Free
JAX is a high-performance framework used by researchers and developers for accelerated machine learning research, providing autograd and XLA compilation with GPU and TPU support. It enables functional transformations for complex computations, ideal for use cases like scientific simulations and data analysis. Researchers utilize JAX for rapid prototyping and deployment.
Browse Other Categories
Image Generation
Video AI
Productivity
AI Tool
Writing & Content
Audio & Music
Code & Developer
AI Companion
Gaming AI
LLM & Models
Data & Analytics
Finance
Marketing
Education
Legal
MLOps
Security
Directory
E-commerce
AI Agents
APIs
Automation
Cybersecurity AI
Database
Healthcare AI
HR & Recruiting
NLP
Platform
Real Estate AI
Research
Search