JiamingLi's starred repositories
image_text_retrieval_BLIP_BLIP2
Experiments with LAVIS library to perform image2text and text2image retrieval with BLIP and BLIP2 models
Deep-Learning-Framework-for-Multi-modal-Product-Classification
Code repository for Rakuten Data Challenge: Multimodal Product Classification and Retrieval.
stock-knowledge-graph
利用网络上公开的数据构建一个小型的证券知识图谱/知识库
Bert-Chinese-Text-Classification-Pytorch
使用Bert,ERNIE,进行中文文本分类
EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
nlp-notebook
NLP 领域常见任务的实现,包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。
Chinese-Text-Classification-Pytorch
中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。
CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集
course-nlp
A Code-First Introduction to NLP course
nlp-beginner
NLP上手教程
yolov4-tiny-pytorch
这是一个YoloV4-tiny-pytorch的源码,可以用于训练自己的模型。
yolov4-pytorch
这是一个YoloV4-pytorch的源码,可以用于训练自己的模型。
tensorflow-DeepFM
Tensorflow implementation of DeepFM for CTR prediction.
openpose_keras
keras version of Realtime Multi-Person Pose Estimation modified for transfer learning
Machine-Learning
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
CreateRemoteThread
From 32-bit process to 64-bit process
fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
GDIPlus_Demo
使用VS2008编译,基于GDIPlus实现的球形进度条,类似一些悬浮窗球体
SetWindowsHookEx-Injector
SetWindowsHookEx Injector
ffmpeg-DXVA-decode
win32 project uses ffmpeg and DXVA2 to decode video, and use DirectDraw to present video image
TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.