LeonNerd's repositories
PyTorch-Tutorial
Build your neural network easy and fast
Attention-mechanism-implementation
Self-attention、Non-local、SE、SK、CBAM、DANet
caffe
Caffe: a fast open framework for deep learning.
caffe-yolov3
A real-time object detection framework of Yolov3/v4 based on caffe
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为17个章节，20多万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
ggml
Tensor library for machine learning
Hisi3559A_Yolov5
基于hisi3559a的yolov5
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
PaddleDetection
Object detection and instance segmentation toolkit based on PaddlePaddle.
PaddleHub
Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy Inference & Serving deployment)
PaddleX
PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）
py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch-caffe-darknet-convert
convert between pytorch, caffe prototxt/weights and darknet cfg/weights
Swin-Transformer-Object-Detection
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
toolbox
various tools such as label-tools , data-augmentation , etc.
Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
yolov3_dyhead
An implementation of YOLOv3 with DyHead applied
Yolov5-Hisi3559a-Train
yolov5训练转onnx转caffe工程 直接可用
YOLOv5-Multibackbone-Compression
YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming) and Quantization (MQBench) Compression Tool Box.
yolov7
🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
yolov7-1
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors