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ylinlinz's Projects

alpaca-cot icon alpaca-cot

We extend CoT data to Alpaca to boost its reasoning ability. We are constantly expanding our collection of instruction-tuning data. The instruction collection can be found at https://huggingface.co/datasets/QingyiSi/Alpaca-CoT/tree/main (我们将CoT数据扩展到Alpaca以提高其推理能力,同时我们将不断收集更多的instruction-tuning数据集。)

bayesian-neural-networks icon bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

belle icon belle

BELLE: BE Large Language model Engine(开源中文对话大模型)

chatrwkv icon chatrwkv

ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

chinese-bert-wwm icon chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)

chinese-xinhua icon chinese-xinhua

:orange_book: 中华新华字典数据库。包括歇后语,成语,词语,汉字。

chinesenlpcorpus icon chinesenlpcorpus

搜集、整理、发布 中文 自然语言处理 语料/数据集,与 有志之士 共同 促进 中文 自然语言处理 的 发展。

cmcqa icon cmcqa

A large Chinese Medical CQA

cmkg icon cmkg

The first Chinese Multimodal Medical Knowledge Graph

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

fastchat icon fastchat

The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"

geml-mdg icon geml-mdg

Code for "Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation". [AAAI 2021]

jd_nlp icon jd_nlp

《贪心学院-京东nlp》项目实战,学习笔记。

langchain-chatglm icon langchain-chatglm

langchain-ChatGLM, local knowledge based ChatGLM with langchain | 基于本地知识的 ChatGLM 问答

meddg icon meddg

a large-scale high-quality medical dialogue dataset

open-assistant icon open-assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

rwkv-lm icon rwkv-lm

RWKV is a 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, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

spinningup icon spinningup

An educational resource to help anyone learn deep reinforcement learning.

tdc icon tdc

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

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