Beast code in Giters

🪢 Open source LLM engineering platform: Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

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self-rag

This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.

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MoE-LLaVA

Mixture-of-Experts for Large Vision-Language Models

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Open-Sora-Plan

This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

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Open-Sora

Open-Sora: Democratizing Efficient Video Production for All

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ColossalAI

Making large AI models cheaper, faster and more accessible

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nebula

A distributed, fast open-source graph database featuring horizontal scalability and high availability

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unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

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ProPainter

[ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting

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CodeFormer

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

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simba

Simba

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qdrant

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

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grok-1

Grok open release

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Neural-Network-Parameter-Diffusion

We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters

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