Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
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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…
Stars: ✭ 43 (-24.56%)
AutogluonAutoGluon: AutoML for Text, Image, and Tabular Data
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Deep-LearningIt contains the coursework and the practice I have done while learning Deep Learning.🚀 👨💻💥 🚩🌈
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Assembled CnnTensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
Stars: ✭ 319 (+459.65%)
super-gradientsEasily train or fine-tune SOTA computer vision models with one open source training library
Stars: ✭ 429 (+652.63%)
RexnetOfficial Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models
Stars: ✭ 319 (+459.65%)
HubA library for transfer learning by reusing parts of TensorFlow models.
Stars: ✭ 3,007 (+5175.44%)
Cvpr18 Inaturalist TransferLarge Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018
Stars: ✭ 164 (+187.72%)
ImageatmImage classification for everyone.
Stars: ✭ 201 (+252.63%)
ImageclassificationDeep Learning: Image classification, feature visualization and transfer learning with Keras
Stars: ✭ 83 (+45.61%)
Pytorch classifiersAlmost any Image classification problem using pytorch
Stars: ✭ 122 (+114.04%)
Skin Lesions Classification DCNNsTransfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
Stars: ✭ 47 (-17.54%)
backpropBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
Stars: ✭ 229 (+301.75%)
Keras-Application-ZooReference implementations of popular DL models missing from keras-applications & keras-contrib
Stars: ✭ 31 (-45.61%)
ArtificioDeep Learning Computer Vision Algorithms for Real-World Use
Stars: ✭ 326 (+471.93%)
Transfer Learning SuiteTransfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
Stars: ✭ 212 (+271.93%)
favorite-research-papersListing my favorite research papers 📝 from different fields as I read them.
Stars: ✭ 12 (-78.95%)
trojanzooTrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.
Stars: ✭ 178 (+212.28%)
multi-task-defocus-deblurring-dual-pixel-nimatReference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning". We propose a single-image deblurring network that incorporates the two sub-aperture views into a multitask framework. Specifically, we show that jointly learning to predict the two DP views from a single …
Stars: ✭ 29 (-49.12%)
tutorialsA tutorial series by Preferred.AI
Stars: ✭ 136 (+138.6%)
assemblmeIterative object assembly animations made simple
Stars: ✭ 19 (-66.67%)
aml-keras-image-recognitionA sample Azure Machine Learning project for Transfer Learning-based custom image recognition by utilizing Keras.
Stars: ✭ 14 (-75.44%)
AlphaTree-graphic-deep-neural-networkAI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱
Stars: ✭ 2,221 (+3796.49%)
deepstack-uiUI for working with Deepstack
Stars: ✭ 115 (+101.75%)
meta-st-stm32mpu-aiThis repository contains the OpenEmbedded meta layer to install AI frameworks and tools for the STM32MP1
Stars: ✭ 32 (-43.86%)
IBMGeneratorIBM Synthetic Data Generator for Itemsets and Sequences
Stars: ✭ 20 (-64.91%)
Evo-ViTOfficial implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
Stars: ✭ 50 (-12.28%)
CGvsPhotoComputer Graphics vs Real Photographic Images : A Deep-learning approach
Stars: ✭ 24 (-57.89%)
meta-learning-progressRepository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.
Stars: ✭ 26 (-54.39%)
image-sorter2One-click image sorting/labelling script
Stars: ✭ 65 (+14.04%)
wechselCode for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.
Stars: ✭ 39 (-31.58%)
TNCR DatasetDeep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142
Stars: ✭ 37 (-35.09%)
zalo-landmarkZalo AI Challenge - Landmark Identification
Stars: ✭ 39 (-31.58%)
ros2-tensorflowROS2 nodes for computer vision tasks in Tensorflow
Stars: ✭ 41 (-28.07%)
drivecommandA communication library which connects a robot (EV3, NXT, etc.) and a device (Android, PC, etc.)
Stars: ✭ 13 (-77.19%)
TransTQAAuthor: Wenhao Yu (
[email protected]). EMNLP'20. Transfer Learning for Technical Question Answering.
Stars: ✭ 12 (-78.95%)
MNISTHandwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
Stars: ✭ 28 (-50.88%)
tfvaegan[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL
Stars: ✭ 107 (+87.72%)
Context-TransformerContext-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020
Stars: ✭ 89 (+56.14%)
object detectionImplementatoin of object detection using Tensorflow 2.1.0 | this can be use in a car for object detection
Stars: ✭ 13 (-77.19%)
paper annotationsA place to keep track of all the annotated papers.
Stars: ✭ 96 (+68.42%)
node-movehubNode.js interface for the Lego Boost Move Hub 🤖 🐱 🎸 🚚
Stars: ✭ 57 (+0%)
TFLite-Android-HelperTensorFlow Lite Helper for Android to help getting started with TesnorFlow.
Stars: ✭ 25 (-56.14%)
ResNet-50-CBAM-PyTorchImplementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.
Stars: ✭ 31 (-45.61%)
powered-up.NET implementation of the LEGO PoweredUp Protocol
Stars: ✭ 65 (+14.04%)
stackml-jsMachine Learning platform in-browser for creators
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Plant AIPerforming Leaf Image classification for Recognition of Plant Diseases using various types of CNN Architecture, For detection of Diseased Leaf and thus helping the increase in crop yield.
Stars: ✭ 36 (-36.84%)
AB distillationKnowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)
Stars: ✭ 105 (+84.21%)
WSDM2022-PTUPCDRThis is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.
Stars: ✭ 65 (+14.04%)
image featuresExtract deep learning features from images using simple python interface
Stars: ✭ 84 (+47.37%)
ATA-GANDemo code for Attention-Aware Generative Adversarial Networks paper
Stars: ✭ 13 (-77.19%)