Adam-NSCLPyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"
Stars: ✭ 34 (-62.64%)
SIGIR2021 ConureOne Person, One Model, One World: Learning Continual User Representation without Forgetting
Stars: ✭ 23 (-74.73%)
agegenderLMTCNNJia-Hong Lee, Yi-Ming Chan, Ting-Yen Chen, and Chu-Song Chen, "Joint Estimation of Age and Gender from Unconstrained Face Images using Lightweight Multi-task CNN for Mobile Applications," IEEE International Conference on Multimedia Information Processing and Retrieval, MIPR 2018
Stars: ✭ 39 (-57.14%)
FACILFramework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
Stars: ✭ 411 (+351.65%)
MetaLifelongLanguageRepository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".
Stars: ✭ 21 (-76.92%)
cvpr clvision challengeCVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!
Stars: ✭ 57 (-37.36%)
class-normClass Normalization for Continual Zero-Shot Learning
Stars: ✭ 34 (-62.64%)
Face Api.jsJavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
Stars: ✭ 13,258 (+14469.23%)
CVPR21 PASSPyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"
Stars: ✭ 55 (-39.56%)
reproducible-continual-learningContinual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
Stars: ✭ 118 (+29.67%)
AIML-Human-Attributes-Detection-with-Facial-Feature-ExtractionThis is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.
Stars: ✭ 48 (-47.25%)
MNIST-multitask6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
Stars: ✭ 34 (-62.64%)
ar-resume-with-visual-recognitionAn augmented reality based résumé with Face recognition. The iOS app recognizes the face and presents you with the AR view that contains 3D mock face and details of your resume.
Stars: ✭ 71 (-21.98%)
MachineLearningโค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น [2020]
Stars: ✭ 28 (-69.23%)
uploadcare clientA flutter library for working with Uploadcare REST API. File uploads, media processing, and adaptive delivery for web and mobile.
Stars: ✭ 14 (-84.62%)
Machine-LearningThe projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
Stars: ✭ 54 (-40.66%)
HiGRUsImplementation of the paper "Hierarchical GRU for Utterance-level Emotion Recognition" in NAACL-2019.
Stars: ✭ 60 (-34.07%)
zed facezedboard上基于FPGA+ARM的人脸识别智能监控系统。关键词:linux,zedboard,arm,fpga,人脸检测,人脸识别。
Stars: ✭ 38 (-58.24%)
AI physicistAI Physicist, a paradigm with algorithms for learning theories from data, by Wu and Tegmark (2019)
Stars: ✭ 23 (-74.73%)
EmotionChallengeSource code for 1st winner of face micro-emotion competition, FG 2017.
Stars: ✭ 37 (-59.34%)
retinafaceRetinaFace: Deep Face Detection Library for Python
Stars: ✭ 242 (+165.93%)
bearidHypraptive BearID project. FaceNet for bears.
Stars: ✭ 34 (-62.64%)
RealSenseIDIntel® RealSense™ ID SDK
Stars: ✭ 67 (-26.37%)
Smart-BellIoT based face recognition security system
Stars: ✭ 30 (-67.03%)
sklearn-audio-classificationAn in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
Stars: ✭ 31 (-65.93%)
megaface-evaluationA Simple Tool to Evaluate Your Models on Megaface Benchmark Implemented in Python and Mxnet
Stars: ✭ 34 (-62.64%)
Face-Recognition-SystemIntelligent Facial Recognition with Django Restful IoT on Raspberry Pi
Stars: ✭ 46 (-49.45%)
HemuerAn AI Tool to record expressions of users as they watch a video and then visualize the funniest parts of it!
Stars: ✭ 22 (-75.82%)
Deep-Surveillance-Monitor-Facial-Emotion-Age-Gender-Recognition-SystemComputer Vision module for detecting emotion, age and gender of a person in any given image, video or real time webcam. A custom VGG16 model was developed and trained on open source facial datasets downloaded from Kaggle and IMDB. OpenCV,dlib & keras were used to aid facial detection and video processing. The final system can detect the emotion,…
Stars: ✭ 60 (-34.07%)
emoticPyTorch implementation of Emotic CNN methodology to recognize emotions in images using context information.
Stars: ✭ 57 (-37.36%)
XEDXED multilingual emotion datasets
Stars: ✭ 34 (-62.64%)
DLCV2018SPRINGDeep Learning for Computer Vision (CommE 5052) in NTU
Stars: ✭ 38 (-58.24%)
Deep-Learning-with-GoogleColabDeep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.
Stars: ✭ 63 (-30.77%)
iqiyi-vid-challengeCode for IQIYI-VID(IQIYI Video Person Identification) Challenge Implemented in Python and MXNet
Stars: ✭ 45 (-50.55%)
pigalleryPiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging
Stars: ✭ 35 (-61.54%)
lite.ai.toolkit🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, MODNet, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.
Stars: ✭ 1,354 (+1387.91%)
ElasticFaceOfficial repository for ElasticFace: Elastic Margin Loss for Deep Face Recognition
Stars: ✭ 86 (-5.49%)
AISecurityCameraA simple Security Camera example which detects motion and perform face recognition
Stars: ✭ 27 (-70.33%)
caltech birdsA set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.
Stars: ✭ 29 (-68.13%)
torchMTLA lightweight module for Multi-Task Learning in pytorch.
Stars: ✭ 84 (-7.69%)
m3f.pytorchPyTorch code for "M³T: Multi-Modal Multi-Task Learning for Continuous Valence-Arousal Estimation"
Stars: ✭ 20 (-78.02%)
ntua-slp-semeval2018Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.
Stars: ✭ 79 (-13.19%)
CS-663Assignment Codes for CS663 Digital Image Processing
Stars: ✭ 15 (-83.52%)
mtlearnMulti-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
Stars: ✭ 45 (-50.55%)
shunyafaceFast Face Recognition on the edge
Stars: ✭ 49 (-46.15%)