zhaopu7

zhaopu7

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alpaca_eval

A validated automatic evaluator for instruction-following language models. High-quality, cheap, and fast.

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Awesome-Chinese-NLP

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

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Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

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Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

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awesome-rl-nlp

Curated Reinforcement Learning Resources for Natural Language Processing

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bert

TensorFlow code and pre-trained models for BERT

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Chinese-LLaMA-Alpaca

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

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Chinese-LLaMA-Alpaca-2

中文 LLaMA-2 & Alpaca-2 大模型二期项目 + 本地CPU/GPU训练部署 (Chinese LLaMA-2 & Alpaca-2 LLMs)

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Chinese_Corpus

中文语料库:包括情感词典 情感分析 文本分类 单轮对话 中文词典 知乎

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Conference-Acceptance-Rate

Acceptance rates for the major AI conferences

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data-juicer

A one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大语言模型提供更高质量、更丰富、更易”消化“的数据!

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evals

Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.

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gptq

Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

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GPTQ-for-LLaMa

4 bits quantization of LLaMA using GPTQ

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llama

Inference code for LLaMA models

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llama.cpp

Port of Facebook's LLaMA model in C/C++

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llama_index

LlamaIndex (formerly GPT Index) is a data framework for your LLM applications

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ltp

Language Technology Platform

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Megatron-LM

Ongoing research training transformer models at scale

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NCRFpp

NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. (ACL 2018 demo paper)

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nlp-datasets

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

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nnPUlearning

Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10

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Prompt-Engineering-Guide

:octopus: Guides, papers, lecture, and resources for prompt engineering

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PU-Learning

This repo lists some researches and applications in PU learning.

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pytorch-A3C

Simple A3C implementation with pytorch + multiprocessing

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Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

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RLHF-Reward-Modeling

Recipes to train reward model for RLHF.

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TCN

Sequence modeling benchmarks and temporal convolutional networks

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