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xinjianlv's Projects

alicemind icon alicemind

ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

bert-bilstm-crf-ner icon bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

billa icon billa

BiLLa: A Bilingual LLaMA with Enhanced Reasoning Ability

chatsql icon chatsql

自然语言转SQL,直接连接数据库查询

chinese-vicuna icon chinese-vicuna

Chinese-Vicuna: A Chinese Instruction-following LLaMA-based Model —— 一个中文低资源的llama+lora方案,结构参考alpaca

chinesesemantickb icon chinesesemantickb

ChineseSemanticKB,chinese semantic knowledge base, 面向中文处理的12类、百万规模的语义常用词典,包括34万抽象语义库、34万反义语义库、43万同义语义库等,可支持句子扩展、转写、事件抽象与泛化等多种应用场景。

colossalai icon colossalai

Making large AI models cheaper, faster and more accessible

crfsuite icon crfsuite

CRFsuite: a fast implementation of Conditional Random Fields (CRFs)

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

executor-3d-encoder icon executor-3d-encoder

An executor that wraps 3D mesh models and encodes 3D content documents to d-dimension vector.

glm icon glm

GLM (General Language Model)

gpt-neo icon gpt-neo

An implementation of model parallel GPT2& GPT3-like models, with the ability to scale up to full GPT3 sizes (and possibly more!), using the mesh-tensorflow library.

gridstudio icon gridstudio

Grid studio is a web-based application for data science with full integration of open source data science frameworks and languages.

informer2020 icon informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

labelme icon labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

langchain-chatglm icon langchain-chatglm

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

llama icon llama

Inference code for LLaMA models

nlp-progress icon nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

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