datalee

LEBERT

Code for the ACL2021 paper "Lexicon Enhanced Chinese Sequence Labelling Using BERT Adapter"

awesome-instruction-datasets

A collection of awesome-prompt-datasets, awesome-instruction-dataset, to train ChatLLM such as chatgpt 收录各种各样的指令数据集, 用于训练 ChatLLM 模型。

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

ChatGLM-6B-badcase

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

ChatGLM-Efficient-Tuning

Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调

ColossalAI

Making large AI models cheaper, faster and more accessible

cx_Oracle_demo

python连接oracle方式

Efficient-Tuning-LLMs

大模型高效量化训练+部署 (Efficient Finetuning of QLoRA LLMs). QLoRA, LLama, bloom, baichuan-7B, GLM

ERNIE

An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)

face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

faceai

一款入门级的人脸、视频、文字检测以及识别的项目.

GA_sort_points

google-research

Google Research

Image_Classification

object_detection_demo

目标识别demo

PaddleNLP

Easy-to-use and powerful NLP library with Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Neural Search, Question Answering, Information Extraction and Sentiment Analysis end-to-end system.

pinyin2hanzi

拼音转汉字, convert pinyin to 汉字 using deep networks

pymysql_demo

python连接mysql方式

python-jieba-keywords

python-RPCServer-Demo

python建立RPC服务和客户端调用示例

RSQL-oracle-mysql

sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

scikit-plot

An intuitive library to add plotting functionality to scikit-learn objects.

Self_Supervised_CWS

This project has included related source codes and datasets of our EMNLP2021 paper

Statistical-related-sharing-PPT

统计相关分享

stopword.utf8

test_txt

train_w2v_model_update

WikiCorpus_vec

维基百科语料训练词向量

xcessiv

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.