57 skills found · Page 1 of 2
666DZY666 / Micronetmicronet, 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
allenai / XNOR NetImageNet classification using binary Convolutional Neural Networks
1adrianb / Binary Face AlignmentReal time face alignment
Zj-BinXia / BBCUThis project is the official implementation of 'Basic Binary Convolution Unit for Binarized Image Restoration Network', ICLR2023
juefeix / Lbcnn.torchTorch implementation of CVPR'17 - Local Binary Convolutional Neural Networks http://xujuefei.com/lbcnn.html
sidmulajkar / Sentiment Predictor For Stress DetectionVoice stress analysis (VSA) aims to differentiate between stressed and non-stressed outputs in response to stimuli (e.g., questions posed), with high stress seen as an indication of deception. In this work, we propose a deep learning-based psychological stress detection model using speech signals. With increasing demands for communication between humans and intelligent systems, automatic stress detection is becoming an interesting research topic. Stress can be reliably detected by measuring the level of specific hormones (e.g., cortisol), but this is not a convenient method for the detection of stress in human- machine interactions. The proposed algorithm first extracts Mel- filter bank coefficients using pre-processed speech data and then predicts the status of stress output using a binary decision criterion (i.e., stressed or unstressed) using CNN (Convolutional Neural Network) and dense fully connected layer networks.
salu133445 / BmuseganCode for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”
layog / Accurate Binary Convolution NetworkBinary Convolution Network for faster real-time processing in ASICs
RyanMarcus / TreeConvolutionPyTorch implementation of binary tree convolution
dizcza / Lbcnn.pytorchPyTorch implementation of Local Binary Convolutional Neural Network http://xujuefei.com/lbcnn.html
sagieppel / Focusing Attention Of Fully Convolutional Neural Networks On Region Of Interest ROI Input Map This project contains code for a fully convolutional neural network (FCN) for semantic segmentation with a region of interest (ROI) map as an additional input (Figure 1). The net receives image and ROI as a binary map with pixels corresponding to ROI marked 1, and produce pixel-wise annotation of the ROI region of the image. The method is based on using region selective features This code was tested on for semantic segmentation task of materials in transparent vessels where the vessel area of the image was set as the ROI.
Phuoc-Hoan-Le / BinaryViTBinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models
brais-martinez / Real2binaryCode for the ICLR2020 "Training Binary Neural Networks with Real-to-Binary Convolutions
eeric / Pytorch LBCNNLocal Binary Convolutional Neural Networks by pytorch
dakshayh / Face Spoofing DetectionDeep Texture feature extraction and implementing Local Binary Pattern(LBP)-based Convolutional Neural Network
bywmm / Bi GCNImplementation of "Binary Graph Convolutional Network", CVPR 2021, and TPAMI 2024.
seukgcode / FastREThe code and dataset for "FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging Framework"
MaxTitkov / Keras InceptionV3 Binary ClassificationKeras implementation of InceptionV3 convolutional neural network in solving binary classification problems
TatevKaren / Convolutional Neural Network Image Recognition Case StudyComputer Vision Case Study in image recognition to classify an image to a binary class, based on Convolutional Neural Networks (CNN), with TensorFlow and Keras in Python, to identify from an image whether it is an image of a dog or cat. (Includes: Data, Case Study Paper, Code)
whoisraibolt / LBCNNLocal Binary Convolutional Neural Network for Facial Expression Recognition of Basic Emotions in Python using the TensorFlow framework
