Atsuios's starred repositories
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)
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
Awesome-GitHub-Repo
收集整理 GitHub 上高质量、有趣的开源项目。
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
DeepImage-an-Image-to-Image-technology
DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。
objectdetection_script
一些关于目标检测的脚本的改进思路代码，详细请看readme.md
Awesome-Vision-Attentions
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
Torch-Pruning
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
Awesome-Backbones
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
YOLOv5-Multibackbone-Compression
YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quantization (MQBench) and Deployment (TensorRT, ncnn) Compression Tool Box.
flexible-yolov5
More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam，dcn and so on), and tensorrt
Image-Augmentation
Image augmentation for object detection, segmentation and classification
pytorch-MNIST-CelebA-cGAN-cDCGAN
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
ur5_ROS-Gazebo
Universal Robot (UR5) Pick and Place Simulation in ROS-Gazebo with a USB Cam and Vacuum Grippers
robotic-grasping
Antipodal Robotic Grasping using GR-ConvNet. IROS 2020.
local-attention
An implementation of local windowed attention for language modeling
tensorflow-MNIST-cGAN-cDCGAN
Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
efficientnet-yolo3-keras
这是一个efficientnet-yolo3-keras的源码，将yolov3的主干特征提取网络修改成了efficientnet