Deep-LearningIt contains the coursework and the practice I have done while learning Deep Learning.🚀 👨💻💥 🚩🌈
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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.
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Transfer Learning SuiteTransfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
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super-gradientsEasily train or fine-tune SOTA computer vision models with one open source training library
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Cvpr18 Inaturalist TransferLarge Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018
Stars: ✭ 164 (+343.24%)
Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
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Keras-Application-ZooReference implementations of popular DL models missing from keras-applications & keras-contrib
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ArtificioDeep Learning Computer Vision Algorithms for Real-World Use
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Pytorch classifiersAlmost any Image classification problem using pytorch
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RexnetOfficial Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models
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backpropBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
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Assembled CnnTensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
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Computer Vision Guide📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.
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Tensorflow 101TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
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pigalleryPiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging
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ImageclassificationDeep Learning: Image classification, feature visualization and transfer learning with Keras
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ailia-modelsThe collection of pre-trained, state-of-the-art AI models for ailia SDK
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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.
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HubA library for transfer learning by reusing parts of TensorFlow models.
Stars: ✭ 3,007 (+8027.03%)
AutogluonAutoGluon: AutoML for Text, Image, and Tabular Data
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Face recognition🍎 My own face recognition with deep neural networks.
Stars: ✭ 328 (+786.49%)
Skin Lesions Classification DCNNsTransfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
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Face.evolve.pytorch🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
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deep-learningProjects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…
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ImageatmImage classification for everyone.
Stars: ✭ 201 (+443.24%)
deepstack-uiUI for working with Deepstack
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favorite-research-papersListing my favorite research papers 📝 from different fields as I read them.
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Poke-Pi-DexOur deep learning for computer vision related project for nostalgic poke weebs (Sistemi digitali, Unibo).
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translearnCode implementation of the paper "With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning", at USENIX Security 2018
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ML4K-AI-ExtensionUse machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.
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WhoAreYouFace detection and recognition with CoreML and ARKit
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Bag-of-Visual-Words🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.
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face-recognition🙂 An OpenCV application that can detect & recognize your face in real-time
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PassFaceFace recognizing program develop using EmguCV (OpenCV wrapper). It is possible to use 4 different algorithm and 3 different source(Camera, Video, Image)
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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.
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Syn2RealRepository for Transfer Learning using Deep CNNs trained with synthetic images
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tamnun-mlAn easy to use open-source library for advanced Deep Learning and Natural Language Processing
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DynamicViT[NeurIPS 2021] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
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deep-parkingCode to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.
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Face-Recognition-AttendanceFace recognition using OpenCV and developed Advance high speed Attendance System on old CCTV footage
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CNN-Image-ClassifierA Simple Deep Neural Network to classify images made with Keras
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pytorch-vitAn Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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double-takeUnified UI and API for processing and training images for facial recognition.
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TrainCaffeCustomDatasetTransfer learning in Caffe: example on how to train CaffeNet on custom dataset
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DeTraC COVId19Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
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ImVisibleImVisible: Pedestrian Traffic Light Dataset, Neural Network, and Mobile Application for the Visually Impaired (CAIP '19, ICCVW'19)
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