From bfadcd41ce405156377431241ee173d798b0e240 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Sun, 25 Feb 2024 11:49:47 +0000
Subject: [PATCH] awesome-stars category by topic update by github actions
 cron, created by starred

---
 topics.md | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/topics.md b/topics.md
index 3863693..d52e64f 100644
--- a/topics.md
+++ b/topics.md
@@ -235,6 +235,7 @@
 
 ## deep-learning 
 
+- [Unstructured-IO/unstructured](https://github.com/Unstructured-IO/unstructured) - Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
 - [BlinkDL/RWKV-LM](https://github.com/BlinkDL/RWKV-LM) - RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, sa
 - [RWKV/rwkv.cpp](https://github.com/RWKV/rwkv.cpp) - INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model
 - [bigscience-workshop/petals](https://github.com/bigscience-workshop/petals) - 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
@@ -383,6 +384,7 @@
 
 ## machine-learning 
 
+- [Unstructured-IO/unstructured](https://github.com/Unstructured-IO/unstructured) - Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
 - [RWKV/rwkv.cpp](https://github.com/RWKV/rwkv.cpp) - INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model
 - [bigscience-workshop/petals](https://github.com/bigscience-workshop/petals) - 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
 - [AI4LAM/awesome-ai4lam](https://github.com/AI4LAM/awesome-ai4lam) - A list of awesome AI in libraries, archives, and museum collections from around the world 🕶️
@@ -433,6 +435,7 @@
 
 ## nlp 
 
+- [Unstructured-IO/unstructured](https://github.com/Unstructured-IO/unstructured) - Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
 - [bigscience-workshop/petals](https://github.com/bigscience-workshop/petals) - 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
 - [stanford-oval/WikiChat](https://github.com/stanford-oval/WikiChat) - WikiChat stops the hallucination of large language models by retrieving data from Wikipedia.
 - [clovaai/donut](https://github.com/clovaai/donut) - Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022