Monodepth360Master's project implementing depth estimation for spherical images using unsupervised learning with CNNs.
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Stock Market Prediction Web App Using Machine Learning And Sentiment AnalysisStock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
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Data Science Bowl 2018End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle
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Turkish Bert Nlp PipelineBert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.
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EspcnA PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"
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Ios 10 SamplerCode examples for new APIs of iOS 10.
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EdgenetsThis repository contains the source code of our work on designing efficient CNNs for computer vision
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Mc Cnn Pythona python implementation of MC-CNN
Stars: ✭ 38 (-67.52%)
DcpdnDensely Connected Pyramid Dehazing Network (CVPR'2018)
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Single Human Parsing LipPSPNet implemented in PyTorch for single-person human parsing task, evaluating on Look Into Person (LIP) dataset.
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Ml Classify Text JsMachine learning based text classification in JavaScript using n-grams and cosine similarity
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LesrcnnLightweight Image Super-Resolution with Enhanced CNN (Knowledge-Based Systems,2020)
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DltkDeep Learning Toolkit for Medical Image Analysis
Stars: ✭ 1,249 (+967.52%)
Slot filling and intent detection of sluslot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebook’s multilingual dataset, MIT corpus, E-commerce Shopping Assistant (ECSA) dataset, CoNLL2003 NER, ELMo, BERT, XLNet
Stars: ✭ 298 (+154.7%)
CovidaidCOVID-19 Detection Using Chest X-Ray
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Places365The Places365-CNNs for Scene Classification
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LinusrantsDataset of Linus Torvalds' rants classified by negativity using sentiment analysis
Stars: ✭ 291 (+148.72%)
Pytorch SrganA modern PyTorch implementation of SRGAN
Stars: ✭ 289 (+147.01%)
Recursive CnnsImplementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."
Stars: ✭ 80 (-31.62%)
Delfta Deep Learning Framework for Text
Stars: ✭ 289 (+147.01%)
DeepmodelsTensorFlow Implementation of state-of-the-art models since 2012
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SarcasmdetectionSarcasm detection on tweets using neural network
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Chinese Text ClassificationChinese-Text-Classification,Tensorflow CNN(卷积神经网络)实现的中文文本分类。QQ群:522785813,微信群二维码:http://www.tensorflownews.com/
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Dispnet Flownet DockerDockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)
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SmsopCode for Statistically-motivated Second-order Pooling, ECCV2018
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Rnn For Joint NluTensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
Stars: ✭ 281 (+140.17%)
LanguagecrunchLanguageCrunch NLP server docker image
Stars: ✭ 281 (+140.17%)
Harvesttext文本挖掘和预处理工具(文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等),无监督或弱监督方法
Stars: ✭ 956 (+717.09%)
RnnsharpRNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
Stars: ✭ 277 (+136.75%)
Cnn Paper2🎨 🎨 深度学习 卷积神经网络教程 :图像识别,目标检测,语义分割,实例分割,人脸识别,神经风格转换,GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/
Stars: ✭ 77 (-34.19%)
Qa RankitQA - Answer Selection (Rank candidate answers for a given question)
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Pytorch Image ClassificationTutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
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FacedetectorA re-implementation of mtcnn. Joint training, tutorial and deployment together.
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DsbdLarge-scale, Fast and Accurate Shot Boundary Detection through Spatio-temporal Convolutional Neural Networks
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Music recommenderMusic recommender using deep learning with Keras and TensorFlow
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Cnn Facial LandmarkTraining code for facial landmark detection based on deep convolutional neural network.
Stars: ✭ 516 (+341.03%)
FlairA very simple framework for state-of-the-art Natural Language Processing (NLP)
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DeepfaceKeras implementation of the renowned publication "DeepFace: Closing the Gap to Human-Level Performance in Face Verification" by Taigman et al. Pre-trained weights on VGGFace2 dataset.
Stars: ✭ 113 (-3.42%)
Pwc Net pytorchpytorch implementation of "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume"
Stars: ✭ 111 (-5.13%)
Wallstreetbets Sentiment AnalysisThis program finds the most mentioned ticker on r/wallstreetbets and uses Vader SentimentIntensityAnalyzer to calculate the sentiment analysis.
Stars: ✭ 103 (-11.97%)