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chenmosha's Projects

aimoneyhunter icon aimoneyhunter

ai副业赚钱大集合,教你如何利用ai做一些副业项目,赚取更多额外收益。The Ultimate Guide to Making Money with AI Side Hustles: Learn how to leverage AI for some cool side gigs and rake in some extra cash. Check out the English version for more insights.

animateddrawings icon animateddrawings

Code to accompany "A Method for Animating Children's Drawings of the Human Figure"

awesome-chinese-llm icon awesome-chinese-llm

整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。

awesome_chinese_medical_nlp icon awesome_chinese_medical_nlp

中文医学NLP公开资源整理:术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc

bilm-tf icon bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

bran icon bran

Full abstract relation extraction from biological texts with bi-affine relation attention networks

chinese-clip icon chinese-clip

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

chinese-clip-1 icon chinese-clip-1

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

chinesener icon chinesener

A neural network model for Chinese named entity recognition

clusterdata icon clusterdata

cluster data collected from production clusters in Alibaba for cluster management research

deeprec icon deeprec

DeepRec is a high-performance recommendation deep learning framework based on TensorFlow.

ebm-net icon ebm-net

Codes for the EMNLP'2020 paper "Predicting Clinical Trial Results by Implicit Evidence Integration".

entity-recognition-datasets icon entity-recognition-datasets

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

evals icon evals

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

fableforge icon fableforge

Generate a picture book from a single prompt using OpenAI function calling, replicate, and Deep Lake

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