Sphereface PlusSphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.
Stars: ✭ 151 (+20.8%)
SpherefaceImplementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
Stars: ✭ 1,483 (+1086.4%)
FacerecognitionThis is an implematation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenenCNN algorithm.
Stars: ✭ 137 (+9.6%)
Largemargin softmax lossImplementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.
Stars: ✭ 319 (+155.2%)
LearningThe data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.
Stars: ✭ 330 (+164%)
Caffenet BenchmarkEvaluation of the CNN design choices performance on ImageNet-2012.
Stars: ✭ 700 (+460%)
Face Mask DetectionFace Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Stars: ✭ 774 (+519.2%)
All Classifiers 2019A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
Stars: ✭ 22 (-82.4%)
VpgnetVPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)
Stars: ✭ 382 (+205.6%)
Facenet Face RecognitionThis is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.
Stars: ✭ 54 (-56.8%)
Face RecognitionDeep face recognition with Keras, Dlib and OpenCV
Stars: ✭ 342 (+173.6%)
Py Rfcn Privcode for py-R-FCN-multiGPU maintained by bupt-priv
Stars: ✭ 153 (+22.4%)
Cascaded FcnSource code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
Stars: ✭ 296 (+136.8%)
Deep Learning Traffic LightsCode and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge
Stars: ✭ 457 (+265.6%)
Getting Things Done With PytorchJupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Stars: ✭ 738 (+490.4%)
Face verification experimentOriginal Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)
Stars: ✭ 712 (+469.6%)
Keras Oneclassanomalydetection[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.
Stars: ✭ 102 (-18.4%)
Tensorflow 101TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
Stars: ✭ 642 (+413.6%)
DeepnetsforeoDeep networks for Earth Observation
Stars: ✭ 393 (+214.4%)
Face specific augmFace Renderer to perform Domain (Face) Specific Data Augmentation
Stars: ✭ 398 (+218.4%)
Bottom Up AttentionBottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
Stars: ✭ 989 (+691.2%)
FacerecogFace Recognition using Neural Networks implemented using Keras
Stars: ✭ 39 (-68.8%)
NoisefaceNoise-Tolerant Paradigm for Training Face Recognition CNNs
Stars: ✭ 132 (+5.6%)
Insightface Just WorksInsightface face detection and recognition model that just works out of the box.
Stars: ✭ 127 (+1.6%)
Deep Face RecognitionOne-shot Learning and deep face recognition notebooks and workshop materials
Stars: ✭ 147 (+17.6%)
Up Down CaptionerAutomatic image captioning model based on Caffe, using features from bottom-up attention.
Stars: ✭ 195 (+56%)
Face RecognitionFace recognition and its application as attendance system
Stars: ✭ 143 (+14.4%)
OwnphotosSelf hosted alternative to Google Photos
Stars: ✭ 2,587 (+1969.6%)
OrnOriented Response Networks, in CVPR 2017
Stars: ✭ 207 (+65.6%)
Teacher Student TrainingThis repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.
Stars: ✭ 34 (-72.8%)
Face ClassificationFace model to classify gender and race. Trained on LFWA+ Dataset.
Stars: ✭ 104 (-16.8%)
Facemaskdetection开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.
Stars: ✭ 1,677 (+1241.6%)
Parallel ml tutorialTutorial on scikit-learn and IPython for parallel machine learning
Stars: ✭ 1,566 (+1152.8%)
Error DetectionA Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Stars: ✭ 124 (-0.8%)
India Election DataTo map publicly available datasets related to General Assembly (Lok Sabha) elections in India.
Stars: ✭ 122 (-2.4%)
Carnd Lenet LabImplement the LeNet deep neural network model with TensorFlow.
Stars: ✭ 124 (-0.8%)
Lit2vecRepresenting Books as vectors using the Word2Vec algorithm
Stars: ✭ 125 (+0%)
DeepinsightA general framework for interpreting wide-band neural activity
Stars: ✭ 125 (+0%)
Predictive MaintenanceData Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)
Stars: ✭ 124 (-0.8%)
TriageGeneral Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems
Stars: ✭ 122 (-2.4%)
Carnd Stars: ✭ 123 (-1.6%)