recurrent-defocus-deblurring-synth-dual-pixelReference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Lev…
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dl-reluDeep Learning using Rectified Linear Units (ReLU)
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DeepSeparationKeras Implementation and Experiments with Deep Recurrent Neural Networks for Source Separation
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ChatbotA Deep-Learning multi-purpose chatbot made using Python3
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OCROptical character recognition Using Deep Learning
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MTMTCode for the CVPR 2020 paper "A Multi-task Mean Teacher for Semi-supervised Shadow Detection"
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spikeRNNNo description or website provided.
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STORN-kerasThis is a STORN (Stochastical Recurrent Neural Network) implementation for keras!
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Learning-Lab-C-LibraryThis library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated
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Deep-LearningThis repo provides projects on deep-learning mainly using Tensorflow 2.0
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SESRSESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks
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MPNetMotion Planning Networks
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deeplearning딥러닝 학습 자료를 모아두고 여러 사람이 참고하여 학습할 수 있도록 돕습니다.
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SpeechEnhancementCombining Weighted Multi-resolution STFT Loss and Distance Fusion to Optimize Speech Enhancement Generative Adversarial Networks
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BehaviorMetricsAutonomous driving neural network comparison tool
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Active-Shift-TFTensorflow implementation for Active Shift Layer(ASL)
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LSMLiquid State Machines in Python and NEST
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SwitchNorm DetectionThe code of Switchable Normalization for object detection based on Detectron.pytorch.
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EasySparseSparse learning in TensorFlow using data acquired from Spark.
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QmapCompressionOfficial implementation of "Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform", ICCV 2021
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classifying-cancerA Python-Tensorflow neural network for classifying cancer data
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ODSC India 2018My presentation at ODSC India 2018 about Deep Learning with Apache Spark
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ghiaseddinAuthor's implementation of the paper "Deep Relative Attributes" (ACCV 2016)
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recsys2019The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
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lyrics-generatorGenerating lyrics with a recurrent neural network
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learning2hash.github.ioWebsite for "A survey of learning to hash for Computer Vision" https://learning2hash.github.io
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caffeCaffe: a Fast framework for deep learning. Custom version with built-in sparse inputs, segmentation, object detection, class weights, and custom layers
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focallossFocal Loss of multi-classification in tensorflow
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Meetup-ContentEntirety.ai Intuition to Implementation Meetup Content.
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bert experimentalcode and supplementary materials for a series of Medium articles about the BERT model
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imessage-chatbot💬 Recurrent neural network -- generates messages in your style of speech! Trained on imessage data. Sqlite3, TensorFlow, Flask, Twilio SMS, AWS.
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DLInfBenchCNN model inference benchmarks for some popular deep learning frameworks
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dtsA Keras library for multi-step time-series forecasting.
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Image-ClassifierFinal Project of the Udacity AI Programming with Python Nanodegree
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barrageBarrage is an opinionated supervised deep learning tool built on top of TensorFlow 2.x designed to standardize and orchestrate the training and scoring of complicated models.
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deep-improvisationEasy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.
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