Computervision RecipesBest Practices, code samples, and documentation for Computer Vision.
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CPCE-3DLow-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
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paper annotationsA place to keep track of all the annotated papers.
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Amazon Forest Computer VisionAmazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
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LabelboxLabelbox is the fastest way to annotate data to build and ship computer vision applications.
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aml-keras-image-recognitionA sample Azure Machine Learning project for Transfer Learning-based custom image recognition by utilizing Keras.
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GraphroleAutomatic feature extraction and node role assignment for transfer learning on graphs (ReFeX & RolX)
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TFLite-Android-HelperTensorFlow Lite Helper for Android to help getting started with TesnorFlow.
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image-sorter2One-click image sorting/labelling script
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AIDeveloperGUI-based software for training, evaluating and applying deep neural nets for image classification
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ros2-tensorflowROS2 nodes for computer vision tasks in Tensorflow
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AlbumentationsFast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
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MedpyMedical image processing in Python
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Image-ClassifierFinal Project of the Udacity AI Programming with Python Nanodegree
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AB distillationKnowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)
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Food 101 MobileDeep Learning Food Classifier for iOS using Keras and Tensorflow
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Neural PipelineNeural networks training pipeline based on PyTorch
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trojanzooTrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.
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Marta GanMARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification
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tutorialsA tutorial series by Preferred.AI
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Alturos.yoloC# Yolo Darknet Wrapper (real-time object detection)
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wechselCode for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.
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zalo-landmarkZalo AI Challenge - Landmark Identification
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Pytorch Nlp NotebooksLearn how to use PyTorch to solve some common NLP problems with deep learning.
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tfvaegan[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL
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Protest Detection Violence EstimationImplementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)
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object detectionImplementatoin of object detection using Tensorflow 2.1.0 | this can be use in a car for object detection
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Transfer NlpNLP library designed for reproducible experimentation management
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ImagenetTrial on kaggle imagenet object localization by yolo v3 in google cloud
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Awesome Bert NlpA curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.
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wildflower-finderImage classification of wildflowers using deep residual learning and convolutional neural nets
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LibtldaLibrary of transfer learners and domain-adaptive classifiers.
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neuralBlackA Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework
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EasytransferEasyTransfer is designed to make the development of transfer learning in NLP applications easier.
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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.
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Bigdata18Transfer learning for time series classification
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Sigir2020 peterrecParameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
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whatfoodFood classification using deep learning
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Haystack🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.
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