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github-actions[bot] authored Nov 29, 2024
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## computer-vision

- [katanaml/sparrow](https://github.com/katanaml/sparrow) - Data processing with ML, LLM and Vision LLM
- [merveenoyan/siglip](https://github.com/merveenoyan/siglip) - Projects based on SigLIP (Zhai et. al, 2023) and Hugging Face transformers integration 🤗
- [deepfates/memery](https://github.com/deepfates/memery) - Search over large image datasets with natural language and computer vision!
- [katanaml/sparrow](https://github.com/katanaml/sparrow) - Data processing with ML, LLM and Vision LLM
- [lucidrains/vit-pytorch](https://github.com/lucidrains/vit-pytorch) - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
- [HumanSignal/label-studio](https://github.com/HumanSignal/label-studio) - Label Studio is a multi-type data labeling and annotation tool with standardized output format
- [rsommerfeld/trocr](https://github.com/rsommerfeld/trocr) - Powerful handwritten text recognition. A simple-to-use, unofficial implementation of the paper "TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models".
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## llm

- [katanaml/sparrow](https://github.com/katanaml/sparrow) - Data processing with ML, LLM and Vision LLM
- [JohnSnowLabs/spark-nlp](https://github.com/JohnSnowLabs/spark-nlp) - State of the Art Natural Language Processing
- [yamadashy/repomix](https://github.com/yamadashy/repomix) - 📦 Repomix (formerly Repopack) is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or o
- [meta-llama/llama-recipes](https://github.com/meta-llama/llama-recipes) - 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 a
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- [armbues/SiLLM](https://github.com/armbues/SiLLM) - SiLLM simplifies the process of training and running Large Language Models (LLMs) on Apple Silicon by leveraging the MLX framework.
- [jina-ai/reader](https://github.com/jina-ai/reader) - Convert any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/
- [AugustDev/enchanted](https://github.com/AugustDev/enchanted) - Enchanted is iOS and macOS app for chatting with private self hosted language models such as Llama2, Mistral or Vicuna using Ollama.
- [katanaml/sparrow](https://github.com/katanaml/sparrow) - Data processing with ML, LLM and Vision LLM
- [explosion/curated-transformers](https://github.com/explosion/curated-transformers) - 🤖 A PyTorch library of curated Transformer models and their composable components
- [explosion/spacy-llm](https://github.com/explosion/spacy-llm) - 🦙 Integrating LLMs into structured NLP pipelines
- [video-db/PromptClip](https://github.com/video-db/PromptClip) - Instantly create video clips from LLM prompts
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