Image-ClassificationPre-trained VGG-Net Model for image classification using tensorflow
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Deep-LearningIt contains the coursework and the practice I have done while learning Deep Learning.🚀 👨💻💥 🚩🌈
Stars: ✭ 21 (-47.5%)
Alpha poolingCode for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.
Stars: ✭ 51 (+27.5%)
Skin Lesions Classification DCNNsTransfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
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al-fk-self-supervisionOfficial PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"
Stars: ✭ 28 (-30%)
wildflower-finderImage classification of wildflowers using deep residual learning and convolutional neural nets
Stars: ✭ 25 (-37.5%)
AMP-RegularizerCode for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021
Stars: ✭ 26 (-35%)
deforestationA machine learning exercise, using KNN to classify deforested areas
Stars: ✭ 26 (-35%)
Transformer-in-TransformerAn Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches
Stars: ✭ 40 (+0%)
AIDeveloperGUI-based software for training, evaluating and applying deep neural nets for image classification
Stars: ✭ 51 (+27.5%)
whatfoodFood classification using deep learning
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aws-rekognitionA Laravel Package/Facade for the AWS Rekognition API
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ML2017FALLMachine Learning (EE 5184) in NTU
Stars: ✭ 66 (+65%)
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 (+57.5%)
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 (+47.5%)
Keras-Application-ZooReference implementations of popular DL models missing from keras-applications & keras-contrib
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VoiceNET.Library.NET library to easily create Voice Command Control feature.
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PlayerDetectionPlayer detection and ball detection in football matches using image processing(opencv).
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Swin-TransformerThis is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Stars: ✭ 8,046 (+20015%)
Labs-IntelligentAPIsIntelligent APIs aim to make machine learning (ML) tasks easier for UWP developers to leverage in their applications without needing ML expertise or creating a new model.
Stars: ✭ 16 (-60%)
kaggle brain-tumor-3DPredict the status of a genetic biomarker important for brain cancer treatment
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Image-ClassifierFinal Project of the Udacity AI Programming with Python Nanodegree
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sparsifyEasy-to-use UI for automatically sparsifying neural networks and creating sparsification recipes for better inference performance and a smaller footprint
Stars: ✭ 138 (+245%)
robotics-level-4This repo contains projects created using TensorFlow-Lite on Raspberry Pi and Teachable Machine. AI and ML capabilities have been integrated with Robot's software.
Stars: ✭ 34 (-15%)
pyro-visionComputer vision library for wildfire detection
Stars: ✭ 33 (-17.5%)
SceneClassificationThis project is to use deep learning to auto classify the scene images with limited amount of training images.
Stars: ✭ 17 (-57.5%)
HugsVisionHugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
Stars: ✭ 154 (+285%)
GFNet[NeurIPS 2021] Global Filter Networks for Image Classification
Stars: ✭ 199 (+397.5%)
nsfw apiPython REST API to detect images with adult content
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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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TensorPyEasy Image Classification with TensorFlow
Stars: ✭ 44 (+10%)
InceptionV4Keras implementation of InceptionV4 Paper
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HSI-Traditional-to-Deep-ModelsPytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.
Stars: ✭ 72 (+80%)
basic-image-edaA simple image dataset EDA tool (CLI / Code)
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dl-reluDeep Learning using Rectified Linear Units (ReLU)
Stars: ✭ 20 (-50%)
live-cctvTo detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.
Stars: ✭ 23 (-42.5%)
ImVisibleImVisible: Pedestrian Traffic Light Dataset, Neural Network, and Mobile Application for the Visually Impaired (CAIP '19, ICCVW'19)
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ePillID-benchmarkePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)
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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.
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