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dengzhilong's Projects

albert_zh icon albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

allennlp icon allennlp

An open-source NLP research library, built on PyTorch.

alphafm icon alphafm

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

architecture.of.internet-product icon architecture.of.internet-product

互联网公司技术架构，微信/淘宝/微博/腾讯/阿里/美团点评/百度/Google/Facebook/Amazon/eBay的架构，欢迎PR补充

auto_ml icon auto_ml

Automated machine learning for analytics & production

awesome-algorithm icon awesome-algorithm

Leetcode 题解 (跟随思路一步一步撸出代码) 及经典算法实现

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-pytorch-list icon awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

basicml icon basicml

some basic machine learning implement

belle icon belle

BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）

bert icon bert

TensorFlow code and pre-trained models for BERT

bert-as-service icon bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bilm-tf icon bilm-tf

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

chatbot-list icon chatbot-list

行业内关于智能客服、聊天机器人的应用和架构、算法分享和介绍

chatterbot icon chatterbot

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

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。

circleloss icon circleloss

Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"

cleanlab icon cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

cnn-re-tf icon cnn-re-tf

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

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