Image-ClassifierFinal Project of the Udacity AI Programming with Python Nanodegree
Stars: ✭ 63 (+200%)
Skin Lesions Classification DCNNsTransfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
Stars: ✭ 47 (+123.81%)
Paper-NotesPaper notes in deep learning/machine learning and computer vision
Stars: ✭ 37 (+76.19%)
Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
Stars: ✭ 139 (+561.9%)
ArtificioDeep Learning Computer Vision Algorithms for Real-World Use
Stars: ✭ 326 (+1452.38%)
UdacityThis repo includes all the projects I have finished in the Udacity Nanodegree programs
Stars: ✭ 57 (+171.43%)
favorite-research-papersListing my favorite research papers 📝 from different fields as I read them.
Stars: ✭ 12 (-42.86%)
Transfer Learning SuiteTransfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
Stars: ✭ 212 (+909.52%)
Contrastive Unpaired TranslationContrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
Stars: ✭ 822 (+3814.29%)
Image-ClassificationPre-trained VGG-Net Model for image classification using tensorflow
Stars: ✭ 29 (+38.1%)
AvatarGANGenerate Cartoon Images using Generative Adversarial Network
Stars: ✭ 24 (+14.29%)
udacity-cvnd-projectsMy solutions to the projects assigned for the Udacity Computer Vision Nanodegree
Stars: ✭ 36 (+71.43%)
Data-Analyst-NanodegreeThis repo consists of the projects that I completed as a part of the Udacity's Data Analyst Nanodegree's curriculum.
Stars: ✭ 13 (-38.1%)
gan deeplearning4jAutomatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.
Stars: ✭ 19 (-9.52%)
gans-collection.torchTorch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)
Stars: ✭ 53 (+152.38%)
backpropBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
Stars: ✭ 229 (+990.48%)
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 (+104.76%)
aml-keras-image-recognitionA sample Azure Machine Learning project for Transfer Learning-based custom image recognition by utilizing Keras.
Stars: ✭ 14 (-33.33%)
PlayerDetectionPlayer detection and ball detection in football matches using image processing(opencv).
Stars: ✭ 50 (+138.1%)
Anime2SketchA sketch extractor for anime/illustration.
Stars: ✭ 1,623 (+7628.57%)
sparsezooNeural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
Stars: ✭ 264 (+1157.14%)
jpetstore-kubernetesModernize and Extend: JPetStore on IBM Cloud Kubernetes Service
Stars: ✭ 21 (+0%)
rps-cvA Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi
Stars: ✭ 102 (+385.71%)
coursera-gan-specializationProgramming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Stars: ✭ 277 (+1219.05%)
FlyingCarUdacity🛩️⚙️ 3D Planning, PID Control, Extended Kalman Filter for the Udacity Flying Car Nanodegree // FCND-Term1
Stars: ✭ 16 (-23.81%)
Awesome-GAN-Resources🤖A list of resources to help anyone getting started with GANs 🤖
Stars: ✭ 90 (+328.57%)
zalo-landmarkZalo AI Challenge - Landmark Identification
Stars: ✭ 39 (+85.71%)
pytorch-vitAn Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Stars: ✭ 250 (+1090.48%)
CoreML-and-Vision-with-a-pre-trained-deep-learning-SSD-modelThis project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several di…
Stars: ✭ 16 (-23.81%)
MNISTHandwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
Stars: ✭ 28 (+33.33%)
pytorch-gansPyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
Stars: ✭ 21 (+0%)
super-gradientsEasily train or fine-tune SOTA computer vision models with one open source training library
Stars: ✭ 429 (+1942.86%)
CPCE-3DLow-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
Stars: ✭ 40 (+90.48%)
Keras-Application-ZooReference implementations of popular DL models missing from keras-applications & keras-contrib
Stars: ✭ 31 (+47.62%)
Udacity-Advance-Lane-detection-of-the-roadUdacity Self-Driving Car Engineer Nanodegree Advanced Lane Finding Project. Identifying lanes using edge detection (Sobel operator, gradient of magnitude and direction, and HLS color space), camera calibration and unwarping (distortion correction and perspective transform), and polynomial fitting for the lanes.
Stars: ✭ 27 (+28.57%)
bird species classificationSupervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data
Stars: ✭ 59 (+180.95%)
skip-thought-ganGenerating Text through Adversarial Training(GAN) using Skip-Thought Vectors
Stars: ✭ 44 (+109.52%)
AMP-RegularizerCode for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021
Stars: ✭ 26 (+23.81%)
aws-rekognitionA Laravel Package/Facade for the AWS Rekognition API
Stars: ✭ 20 (-4.76%)
udacity-fsndUdacity Full Stack Web Developer Nanodegree program (FSND) course materials
Stars: ✭ 66 (+214.29%)
GFNet[NeurIPS 2021] Global Filter Networks for Image Classification
Stars: ✭ 199 (+847.62%)
udacity-iOS-nanodegreesList of iOS Udacity Nanodegree programs with links to the free courses in their curricula
Stars: ✭ 52 (+147.62%)
al-fk-self-supervisionOfficial PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"
Stars: ✭ 28 (+33.33%)