Pinned Repositories
Cpp-0-1-Resource
C++ 匠心之作 从0到1入门资料
dsaal
Data structures and algorithms
flower_recongnition
花卉识别
jinxiqinghuan.github.io
My blog project.
labelImg
:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images
micronet
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
patchfly
Pytorch-Transformers
The implement of Transformers with Pytorch.
Real_ESRGAN_Paddle
The implement of Real_ESRGAN use Paddle.
TCGAN
jinxiqinghuan's Repositories
jinxiqinghuan/TCGAN
jinxiqinghuan/dsaal
Data structures and algorithms
jinxiqinghuan/jinxiqinghuan.github.io
My blog project.
jinxiqinghuan/micronet
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
jinxiqinghuan/patchfly
jinxiqinghuan/Pytorch-Transformers
The implement of Transformers with Pytorch.
jinxiqinghuan/Real_ESRGAN_Paddle
The implement of Real_ESRGAN use Paddle.
jinxiqinghuan/StyleCLIP_Paddle
The implement of StyleCLIP use Paddle.
jinxiqinghuan/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
jinxiqinghuan/TextGenerator
OCR dataset Text-Detection dataset Font-Classification dataset generator
jinxiqinghuan/2021_algorithm_intern_information
CV 算法工程师技术栈笔记，包含深度学习基础、计算机视觉知识笔记、算法岗面试题答案和 CV 岗面经，以及校招可投递公司信息表。
jinxiqinghuan/Brain-Tumor-Detection
Brain Tumor Detection Using Convolutional Neural Networks.
jinxiqinghuan/DocDiff
DocDiff: Document Enhancement via Residual Diffusion Models. The first diffusion-based models designed for diverse document enhancement tasks. This model is lightweight, efficient, flexible and can also be used for img2img tasks in natural scenes.
jinxiqinghuan/dp_models
Implement some famous models by Pytorch
jinxiqinghuan/learn_pytorch
jinxiqinghuan/Longitudinal_Registration
jinxiqinghuan/MedImage_Format_Convert
A simple python program for medical image format convert.
jinxiqinghuan/Org_Registation_GUI
数字图像处理作业，基于orb特征检测算法的时间轴配准
jinxiqinghuan/PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
jinxiqinghuan/patchify.py
A library that helps you split image into small, overlappable patches, and merge patches into original image.
jinxiqinghuan/PSF
jinxiqinghuan/pycorrector
pycorrector is a toolkit for text error correction. 文本纠错，实现了Kenlm，T5，MacBERT，ChatGLM3，LLaMA等模型应用在纠错场景，开箱即用。
jinxiqinghuan/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
jinxiqinghuan/pytorch-doc-zh
Pytorch 中文文档
jinxiqinghuan/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
jinxiqinghuan/text_renderer
Generate text images for training deep learning ocr model
jinxiqinghuan/tianchi_cz
jinxiqinghuan/tttt
jinxiqinghuan/ttttmp
jinxiqinghuan/wechat-chatgpt
Use ChatGPT On Wechat via wechaty