Nomadc

Hair_Segmentation_Keras. Implement some hair segmentation network and a color similarity calculating method.

Iris_Landmarks_PyTorch. Iris landmarks localization.

Multi_Label_Classification_Keras. This repo is created using the code of Adrian Rosebrock's tutorial on Multi-label classification.

ECE408_Applied_Parallel_Programming. CUDA solutions for the lab assignments in the UIUC-ECE408 Applied Parallel Programming course.

Mobile_Portrait_Matting_PyTorch. Some portrait matting models designed for mobile device.

RetinaFace_MNN. RetinaNet face detection model inference on edge/mobile device utilizing MNN framework.

Hair_Segmentation_iOS. Hair segmentation using CoreML

Fast_Portrait_Matting_MNN. Real time portrait matting on mobile phone using MNN inference engine.

MTCNN_PyTorch. Python

MIT-6.815. Solutions and learning notes for MIT course 6.815/6.865 Digital & Computational Photography.

PyTorch_Pruning. Prunning PyTorch Model manually and using nni compression library.

matmul_cuda_kernel_tvm. Generate optimized MatMul cuda kernel automatically using tvm auto schedule.

MTCNN_PyTorch_Zero_To_One. Tutorial about how to train MTCNN from zero to one.

RetinaFace_TVM. Optimizing RetinaFace inference using TVM.

Fast_Portrait_Matting_PyTorch. Python

Object_Detection_Projects. Python

Image_Classification_Serving_TensorFlow2. Python

Face_Attributes_Classification_with_Dlib. Classify male/female, smiling/not smiling with dlib face embedding features and SVM.

Traffic_Sign_Classification_Keras_CoreML. How to build a IOS traffic sign classification APP using Keras and CoreML

study. Repo for building my basic computer science skill stacks

OpenCV_Projects. Projects show the usage the opencv for future reference

tvm_project_course. Python

dlib_usage. Python

Image_Classification_PyTorch. Jupyter Notebook

Fast_Style_Transfer_TensorFlow2. Implement fast style transfer using mobilenetv2 architecture with TensorFlow2

Image_Classification_Serving_TensorFlow. Python