Replicate provides a platform for running machine learning models in the cloud, offering both a Python library and a direct API for execution. It hosts thousands of ready-to-use models, supports custom model deployment with its open-source tool, Cog, and ensures scalable deployment with automatic scaling and a pay-per-use pricing model.
Michael Spencer • The Advent of "HustleGPT"
Mastering Geospatial Analysis with Python: Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter
Magical tools
for working
with data
Queries, notebooks, reports, data apps, and AI — all in the world’s leading collaborative data workspace.
for working
with data
Queries, notebooks, reports, data apps, and AI — all in the world’s leading collaborative data workspace.
Hex - Do more with data, together.
logistic regression, K-nearest neighbors, support vector machine (SVM), decision trees, random forests, and so on. How can a data scientist possibly know which
Eric Redmond • Deep Tech: Demystifying the Breakthrough Technologies That Will Revolutionize Everything
You name it; if there's good historical data, a trained AI model can help.
John W. Foreman • Data Smart: Using Data Science to Transform Information into Insight
📦 Service Deployment - Ray Serve (https://lnkd.in/eAV-Y6RN)
🧰 Data Transformation - Ray Data (https://lnkd.in/e7wYmenc)
🔌 LLM Integration - AIConfig (https://lnkd.in/esvH5NQa)
🗄 Vector Database - Weaviate (https://weaviate.io/)
📚 Supervised LLM Fine-Tuning - HuggingFace TLR (https://lnkd.in/e8_QYF-P)
📈 LLM Observability - Weights & Biases Tra... See more
🧰 Data Transformation - Ray Data (https://lnkd.in/e7wYmenc)
🔌 LLM Integration - AIConfig (https://lnkd.in/esvH5NQa)
🗄 Vector Database - Weaviate (https://weaviate.io/)
📚 Supervised LLM Fine-Tuning - HuggingFace TLR (https://lnkd.in/e8_QYF-P)
📈 LLM Observability - Weights & Biases Tra... See more
Feed | LinkedIn
Sometimes we want to analyze clusters of data (K-means) or reduce the dimensions or features in play (manifold learning) or convert from one type of data to another (autoencoding).