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Starred repositories
Learn how to create, develop, and maintain a state-of-the-art MLOps code base
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
Unlocking Data with Generative AI and RAG, published by Packt
Scalable data pre processing and curation toolkit for LLMs
A library for prototyping generative AI applications.
This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face model…
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of …
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Accelerating new GitHub Actions workflows
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Anthropic's educational courses
High accuracy RAG for answering questions from scientific documents with citations
Deep Learning Study Group
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Python Data Science Handbook: full text in Jupyter Notebooks
Lightning ⚡️ fast forecasting with statistical and econometric models.
Scalable and user friendly neural 🧠 forecasting algorithms.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
📊 Path to a free self-taught education in Data Science!
Unified Training of Universal Time Series Forecasting Transformers
Examples and guides for using the OpenAI API
The repository to showcase the best framework for tabular data - the Awesome CatBoost
series-intro-to-github-flow-arayff created by GitHub Classroom
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Updated Jan 25, 2024
A Tutorial for Setting Python Development Environment with VScode and Docker