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Coding & Learning 🎓👨‍💻
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Coding & Learning 🎓👨‍💻

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Starred repositories

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Fit interpretable models. Explain blackbox machine learning.

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Build resilient language agents as graphs.

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Segment Anything in High Quality [NeurIPS 2023]

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Build AI Agents with memory, knowledge, tools and reasoning. Chat with them using a beautiful Agent UI.

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A collection of guides and examples for the Gemma open models from Google.

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The open-source adapter for working with neo4j graphs and cypher queries in jupyter notebooks leveraging the yFiles Graphs for Jupyter plugin.

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Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks

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The repository for all Azure OpenAI Samples complementing the OpenAI cookbook.

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Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

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Guided course to crash into the most basic ML algorithms.

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Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting…

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20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

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A simple and efficient tool to parallelize Pandas operations on all available CPUs

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Exploration on introducing discrete codex and raw wave decoding to realize Brain-to-Text translation.

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