Guyume's Stars
davidsandberg/facenet
Face recognition using Tensorflow
Lyken17/pytorch-OpCounter
Count the MACs / FLOPs of your PyTorch model.
IntelLabs/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
thearn/webcam-pulse-detector
A python application that detects and highlights the heart-rate of an individual (using only their own webcam) in real-time.
666DZY666/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
szad670401/HyperLandmark
Deep Learning Based Free Mobile Real-Time Face Landmark Detector. Contact:jack-yu-business@foxmail.com
Xilinx/brevitas
Brevitas: neural network quantization in PyTorch
cszn/DPSR
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
awni/ecg
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
xiaomi-automl/FALSR
Fast, Accurate and Lightweight Super-Resolution models
SeuTao/FaceBagNet
FaceBagNet - Patch-based Methods for Multi-modal Face Anti-spoofing (FAS)
google/qkeras
QKeras: a quantization deep learning library for Tensorflow Keras
AlexanderParkin/ChaLearn_liveness_challenge
ChaLearn Face Anti-spoofing Attack Detection Challenge@CVPR2019
STRCWearlab/DeepConvLSTM
Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
1zb/pytorch-image-comp-rnn
PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks
yjn870/RDN-pytorch
PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)
TropComplique/trained-ternary-quantization
Reducing the size of convolutional neural networks
Aiwiscal/CPSC_Scheme
cbailes/awesome-ai-cardiology
Awesome resources for artificial intelligence in cardiology
Aiwiscal/MIT_Scheme
An implementation of inter-patient arrhythmia diagnosis using Andrew Y. Ng-style ResNet
aiff22/HAR
wilfer9008/CNN_IMU
Implementation code and parameters of the CNN-IMU presented in the Journal "Convolutional Neural Networks for Human Activity Recognition using Body-Worn Sensors"
amostayed/Deep-learning
coderhss/efficientdet-pytorch
A Pytorch implementation of EfficientDet
yaojieliu/ICCVW2017-DenseFaceAlignment
http://cvlab.cse.msu.edu/project-pifa.html
tom-beer/Arrhythmia-CNN
Arrhythmia detection using deep convolutional neural network with long duration ECG signals
skyf0cker/SRCNN_TORCH
SRCNN's Pytorch implementation
QingbeiGuo/Multivalued-Neural-Networks
Multivalued Weight Neural Networks: Quantization-aware Training for Deep Network Compression
Seb-Good/haifa-net
Code for training a deep neural network for heart arrhythmia classification.
ycfang-lab/fasnet
an implementation of "Ultra-Deep Neural Network for Face Anti-Spoofing"