From 15ae48eb18760e81b565894fe47ec22526ba258d Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Wed, 11 Dec 2024 00:09:32 +0000 Subject: [PATCH] Update metrics.svg - [Skip GitHub Action] --- metrics.svg | 127 ++++++++++++++++++++++------------------------------ 1 file changed, 54 insertions(+), 73 deletions(-) diff --git a/metrics.svg b/metrics.svg index 27a98a1a3..3aa54922f 100644 --- a/metrics.svg +++ b/metrics.svg @@ -1,4 +1,4 @@ - + @@ -34,15 +34,15 @@ - - - - + + + + - - - + + + @@ -107,7 +107,7 @@ - 130 issue comments + 131 issue comments
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- sssth/awesome-DPO - starred 6 days ago + monk1337/Various-Attention-mechanisms + starred 12 hours ago
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papers related to Direct Preference Optimization(DPO)
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This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention etc in Pytorch, Tensorflow, Keras
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+ + + + Python +
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- NLPJCL/RAG-Retrieval - starred 10 days ago + BobXWu/Paper-Neural-Topic-Models + starred 12 hours ago
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Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
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Papers of Neural Topic Models (NTMs)
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- - - - MIT -
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- OpenRLHF/OpenRLHF - starred 19 days ago + sssth/awesome-DPO + starred 7 days ago
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An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention)
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papers related to Direct Preference Optimization(DPO)
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- agential-ai/agential - starred Oct 21 2024 + NLPJCL/RAG-Retrieval + starred 11 days ago
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🔔🧠 Easily experiment with popular language agents across diverse reasoning/decision-making benchmarks!
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Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
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@@ -2986,7 +2967,7 @@ - 5.62k hours played + 5.63k hours played @@ -3023,7 +3004,7 @@ - Last played on 9 Dec 2024 + Last played on 10 Dec 2024
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These metrics include private contributions - Last updated 10 Dec 2024, 08:09:12 (timezone Asia/Shanghai) with lowlighter/metrics@3.34.0 + Last updated 11 Dec 2024, 08:08:51 (timezone Asia/Shanghai) with lowlighter/metrics@3.34.0