Pinned Repositories
FBTT-Embedding
This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as recommendation and natural language processing. We showed this library can reduce the total model size by up to 100x in Facebook’s open sourced DLRM model while achieving same model quality. Our implementation is
hand_detection
A Light CNN based Method for Hand Detection and Orientation Estimation
my-linux-config
nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
pixel_privacy_2020
Xing Code for Pixel Privacy 2020
PoolNet
Saliency object detection - Computer Vision Final project - HCMUS
recsys-benchmark
Benchmark source code for multiple recommendation backbone
S-DCNet
Implementaion of S-DCNet (ICCV 2019)
shopee_c2
swagger_spec_validator
chenxing1999's Repositories
chenxing1999/hand_detection
A Light CNN based Method for Hand Detection and Orientation Estimation
chenxing1999/FBTT-Embedding
This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as recommendation and natural language processing. We showed this library can reduce the total model size by up to 100x in Facebook’s open sourced DLRM model while achieving same model quality. Our implementation is
chenxing1999/my-linux-config
chenxing1999/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
chenxing1999/pixel_privacy_2020
Xing Code for Pixel Privacy 2020
chenxing1999/PoolNet
Saliency object detection - Computer Vision Final project - HCMUS
chenxing1999/recsys-benchmark
Benchmark source code for multiple recommendation backbone
chenxing1999/S-DCNet
Implementaion of S-DCNet (ICCV 2019)
chenxing1999/shopee_c2
chenxing1999/swagger_spec_validator
chenxing1999/PICK-pytorch
Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)