Just a collection of tools for the different phases of ML/AI Lifecycle.
Data Collection and Preprocessing
- Pandas: Data manipulation and analysis.
- NumPy: Numerical computing.
- Beautiful Soup: Web scraping.
- Scrapy: Advanced web scraping.
- OpenRefine: Data cleaning.
- AWS Glue: Data extraction, transformation, and loading (ETL).
- AWS Data Pipeline: Data orchestration.
- AWS Kinesis: Real-time data streaming.
- AWS Athena: SQL-based queries on S3 data.
Data Storage
- MySQL: Relational database.
- MongoDB: NoSQL database.
- Hadoop: Big data storage.
- Apache Cassandra: Scalable NoSQL database.
- Redis: In-memory data store.
- Amazon RDS: Relational database service.
- Amazon DynamoDB: NoSQL database.
- Amazon Redshift: Data warehousing.
- AWS S3: Data storage and retrieval.
- AWS Elastic File System (EFS): Scalable file storage.
Data Analysis and Visualization
- Matplotlib: Data visualization.
- Seaborn: Statistical data visualization.
- Tableau: Business intelligence and visualization.
- Power BI: Data visualization and business analytics.
- Jupyter Notebook: Interactive computing and data analysis.
- Amazon QuickSight: Business intelligence and visualization.
- AWS Data Exchange: Data marketplace.
- AWS Lake Formation: Data lake build and management.
- AWS EMR: Big data platform.
- Jupyter on EC2: Notebook for data analysis.
Machine Learning Frameworks
- TensorFlow: Open-source machine learning.
- PyTorch: Dynamic computation graphs.
- Scikit-learn: General-purpose machine learning.
- Keras: High-level neural networks API.
- XGBoost: Gradient boosting framework.
- Amazon SageMaker: End-to-end machine learning platform.
- AWS DeepLens: Deep learning-enabled video camera.
- AWS DeepRacer: Reinforcement learning.
- AWS DeepComposer: Generative AI.
- AWS Inferentia: Machine learning inference chip.
Natural Language Processing
- NLTK: Text processing libraries.
- Spacy: Industrial-strength NLP.
- GPT-4: Advanced language model.
- BERT: Pre-trained language representation.
- OpenNLP: Machine learning toolkit for NLP.
- Amazon Comprehend: Text analysis.
- Amazon Lex: Conversational interfaces.
- Amazon Polly: Text-to-speech.
- Amazon Transcribe: Speech-to-text.
- Amazon Translate: Language translation.
Computer Vision
- OpenCV: Open-source computer vision.
- YOLO: Real-time object detection.
- Fast.ai: Deep learning library.
- Mask R-CNN: Object segmentation.
- Tesseract: Optical Character Recognition (OCR).
- Amazon Rekognition: Image and video analysis.
- AWS Panorama: Computer vision appliance.
- AWS DeepLens: Video analytics.
- Amazon Lookout for Vision: Anomaly detection.
Software Development
- DeepCode: Analiza el código fuente y sugiere correcciones basadas en patrones de código extraidos de proyectos de código abierto.
- GitPrime (Pluralsight Flow): Utiliza datos y AI para proporcionar métricas sobre la eficiencia y efectividad del desarrollo de software.
- Snyk: Plataforma de seguridad que utiliza aprendizaje mecanizado para identificar y remediar vulnerabilidades en dependencias de código abierto.
- Sourcery: Herramienta que refactorea automáticamente el código en Python para mejorar su calidad usando técnicas de AI.
- Amazon CodeGuru: Analliza el código y propociona recomendaciones de optimización y corrección de errores potenciales.
- Amazon Personalize: Proporciona recomendaciones personalizadas a los usuarios usando algoritmos de AI.
- Amazon CodeWhisperer: Herramienta de AI entrenada con miles de millones de líneas de código que puede generar sugerencias de código que van desde fragmentos hasta funciones completas en tiempo real en función de tus comentarios y del código existente.
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