TweetmapA real time Tweet Trend Map and Sentiment Analysis web application with kafka, Angular, Spring Boot, Flink, Elasticsearch, Kibana, Docker and Kubernetes deployed on the cloud
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SeranetSuper Resolution of picture images using deep learning
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PythonmlArtificial neural network classes and tools in Python and TensorFlow.
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Bulbea🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling
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Twitter Sentiment AnalysisThis script can tell you the sentiments of people regarding to any events happening in the world by analyzing tweets related to that event
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Predrnn PytorchOfficial implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.
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Elektronn3A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data
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Wallstreetbets Sentiment AnalysisThis program finds the most mentioned ticker on r/wallstreetbets and uses Vader SentimentIntensityAnalyzer to calculate the sentiment analysis.
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Dialogue UnderstandingThis repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
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JsnetJavascript/WebAssembly deep learning library for MLPs and convolutional neural networks
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Text2genderPredict the author's gender from their text.
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Gru Svm[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
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Wbc segmentaionWhite Blood Cell Image Segmentation Using Deep Convolution Neural Networks
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Learning Social Media Analytics With RThis repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt
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Keras SruImplementation of Simple Recurrent Unit in Keras
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Skiprnn 2017 TelecombcnSkip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)
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PointcnnPointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
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Age Gender EstimationKeras implementation of a CNN network for age and gender estimation
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Pytreebank😡😇 Stanford Sentiment Treebank loader in Python
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Gdax Orderbook MlApplication of machine learning to the Coinbase (GDAX) orderbook
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Zoneout TensorflowAn implementation of zoneout regularizer on LSTM-RNN by Tensorflow
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QrnnQuasi-recurrent Neural Networks for Keras
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DrlnDensely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020
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Linear Attention Recurrent Neural NetworkA recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)
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Cs231n Convolutional Neural Networks SolutionsAssignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
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EasyesnPython library for Reservoir Computing using Echo State Networks
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MinkowskiengineMinkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
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All Classifiers 2019A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
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Quicknat pytorchPyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
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Nlp With RubyCurated List: Practical Natural Language Processing done in Ruby
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YnetY-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images
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Chainer Rnn NerNamed Entity Recognition with RNN, implemented by Chainer
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SentaBaidu's open-source Sentiment Analysis System.
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Deep Visual Attention PredictionKeras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.
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Cinc Challenge2017ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)
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LsuvinitReference caffe implementation of LSUV initialization
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TffrcnnFastER RCNN built on tensorflow
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Absa PytorchAspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。
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Grad Cam[ICCV 2017] Torch code for Grad-CAM
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Absa kerasKeras Implementation of Aspect based Sentiment Analysis
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Noise2noiseAn unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"
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XnnpackHigh-efficiency floating-point neural network inference operators for mobile, server, and Web
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Mad TwinnetThe code for the MaD TwinNet. Demo page:
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Switchable NormalizationCode for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779
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Keras TcnKeras Temporal Convolutional Network.
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DidnPytorch Implementation of "Deep Iterative Down-Up CNN for Image Denoising".
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Multitask sentiment analysisMultitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587
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Cnn graphConvolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
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Roadway intelVehicle make and model classification in Tensorflow by fine-tuning VGG16
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Mycail中国法研杯-司法人工智能挑战赛
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DpedSoftware and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
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FeathercnnFeatherCNN is a high performance inference engine for convolutional neural networks.
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Stock PredictionSmart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon
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