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favorite-research-papersListing my favorite research papers 📝 from different fields as I read them.
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Deep-LearningIt contains the coursework and the practice I have done while learning Deep Learning.🚀 👨💻💥 🚩🌈
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Keras-Application-ZooReference implementations of popular DL models missing from keras-applications & keras-contrib
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Cvpr18 Inaturalist TransferLarge Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018
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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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Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
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backpropBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
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super-gradientsEasily train or fine-tune SOTA computer vision models with one open source training library
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ImageatmImage classification for everyone.
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wechselCode for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.
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image featuresExtract deep learning features from images using simple python interface
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deepstack-uiUI for working with Deepstack
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ATA-GANDemo code for Attention-Aware Generative Adversarial Networks paper
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ailia-modelsThe collection of pre-trained, state-of-the-art AI models for ailia SDK
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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.
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denoised-smoothingProvably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
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BA3UScode for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"
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self-driving-carImplementation of the paper "End to End Learning for Self-Driving Cars"
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ProteinLMProtein Language Model
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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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AB distillationKnowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)
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DeepLearning-PadhAIAll the code files related to the deep learning course from PadhAI
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lstm-numpyVanilla LSTM with numpy
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DrowsyDriverDetectionThis is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.
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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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imgpalrR package for generating color palettes from arbitrary images.
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contextualLSTMContextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning
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