JayFu's repositories
Autoencoders-in-Keras
"Autoencoding" is a data compression algorithm where the compression and decompression functions are 1) data-specific, 2) lossy, and 3) learned automatically from examples rather than engineered by a human. Additionally, in almost all contexts where the term "autoencoder" is used, the compression and decompression functions are implemented with neural networks.
ChipSum
ChipSum's main framework
digital_image_process_learningnote
based on python and opencv
GhostNet-Keras
Simple implementation 2020 CVPR:《GhostNet：More Features from Cheap Operations》
imylu
Pure Python implementation of machine learning algorithms
MLlearningnote
note for starting studying machine learning from 04/18
MyDiarykhj
this is a diary
Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
tensorflow
An Open Source Machine Learning Framework for Everyone