xiexu666's starred repositories
cs_study_plan
一份硬核(hardcore)计算机科学CS自学计划,偏向软件工程和系统架构方向
lite.ai.toolkit
🛠 A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN. Contains YOLOv5, YOLOv6, YOLOX, YOLOR, FaceDet, HeadSeg, HeadPose, Matting etc. Engine: ONNXRuntime, MNN.
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
face-parsing.PyTorch
Using modified BiSeNet for face parsing in PyTorch
proxylessnas
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
awesome-algorithm-question-solution
LeetCode,《剑指offer》中的算法题的题目和解法以及常见算法的实现
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.
MNN-APPLICATIONS
MNN applications by MNN, JNI exec, RK3399. Support tflite\tensorflow\caffe\onnx models.
Segmentation-Pytorch
Semantic Segmentation in Pytorch. Network include: FCN、FCN_ResNet、SegNet、UNet、BiSeNet、BiSeNetV2、PSPNet、DeepLabv3_plus、 HRNet、DDRNet
United-Perception
United Perception
imagecorruptions
Python package to corrupt arbitrary images.
ArmNeonOptimization
Arm neon optimization practice
Attention_ocr.pytorch
This repository implements the the encoder and decoder model with attention model for OCR
mmdetection
OpenVINO Training Extensions Object Detection
SOLOV2_ncnn
the C++ version of solov2 with ncnn
segmentation-learning-experiment-pytorch
基于Pytorch实现优秀的自然图像分割框架!(包括FCN、U-Net和Deeplab)
model-quantization
Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)
ONNX-to-TFLite
Converting the ONNX model representation to the TensorFlow Lite representation.
mnn-yolov5
Imported from https://gitee.com/techshoww/mnn-yolov5.
simple-int8-pytorch-implement
int8 calibration implement and inference (help you understand int8 Q)