Name: DongYongFei
Type: User
Company: Shenzhen University
Bio: Graduated from Guangdong Key Laboratory of Intelligent Information Processing, College of Electronics and Information Engineering, Shenzhen University, Shenzhen
Location: Shenzhen
DongYongFei's Projects
An extremely fast implementation of Aho Corasick algorithm based on Double Array Trie.
Algorithms based on CPP implementation
ASTER in Pytorch
This repository implements the the encoder and decoder model with attention model for OCR
[SIGGRAPH 2020] Attribute2Font: Creating Fonts You Want From Attributes
An experimental open-source attempt to make GPT-4 fully autonomous.
C++ http client, pure libcurl based with customized set_easy_opt for different kind of requests for Mobile, NON BLOCK UI SYNC http request.
用于医疗的ner任务
使用谷歌预训练bert做字嵌入的BiLSTM-CRF序列标注模型
Google AI 2018 BERT pytorch implementation
Named Entity Recognition (NER) task using Bi-LSTM-CRF model implemented in Tensorflow 2.0(tensorflow2.0 +)
基于Tensorflow2.0的BiLSTM+CRF算法
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
ChatGLM-6B:开源双语对话语言模型 | An Open Bilingual Dialogue Language Model
一种平价的chatgpt实现方案, 基于ChatGLM-6B + LoRA
ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型
中文LLaMA-2 & Alpaca-2大模型二期项目 + 16K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs, including 16K long context models)
The progress was used to generate synthetic dataset for Chinese OCR.
The repositoy which contains 5 demos,elaborates how to write CMAKE in details.
Code reproduction of paper Conditional Neural Processes https://arxiv.org/pdf/1807.01613.pdf
cpp-design-patterns
C++设计模式
C++ code demo
crnn implemented by tensorflow2.3
(CRNN) Chinese Characters Recognition.
Deploy pytorch-trained model via libtorch
ms-swift: Use PEFT or Full-parameter to finetune 250+ LLMs or 35+ MLLMs. (Qwen2, GLM4, Internlm2, Yi, Llama3, Llava, MiniCPM-V, Deepseek, Baichuan2, Gemma2, Phi3-Vision, ...)
The most widely used Python to C compiler