Show and TellShow and Tell : A Neural Image Caption Generator
Stars: ✭ 74 (+85%)
classifying-vae-lstmmusic generation with a classifying variational autoencoder (VAE) and LSTM
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ms-convSTAR[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN
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video autoencoderVideo lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf
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DeepSentiPersRepository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"
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char-VAEInspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.
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lstm-numpyVanilla LSTM with numpy
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solar-forecasting-RNNMulti-time-horizon solar forecasting using recurrent neural network
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stanford-cs231n-assignments-2020This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
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algorithmiaNo description or website provided.
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DeepSeparationKeras Implementation and Experiments with Deep Recurrent Neural Networks for Source Separation
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LSTM-sentiment-analysisLSTM sentiment analysis. Please look at my another repo for SVM and Naive algorithem
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BrainforgeA Neural Networking library based on NumPy only
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CDRP TFCNN Event Detection & RNN Phase Picking (in Tensorflow)
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MachineLearningImplementations of machine learning algorithm by Python 3
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QTextRecognizerA gui for tesseractOCR with some preprocessing image options (OpenCV) for improve character recognition
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deeptrolldetectorDeep troll uses a deep learning model that identifies whether an audio contains the Gemidao troll (AAAWN OOOWN NHAAA AWWWWN AAAAAH).
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ntua-slp-semeval2018Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.
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BiLSTM-CRF-NER-PyTorchThis repo contains a PyTorch implementation of a BiLSTM-CRF model for named entity recognition task.
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R UnetVideo prediction using lstm and unet
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seeing-without-lookingPyTorch implementation for Seeing without Looking: Contextual Rescoring of Object Detections for AP Mazimization
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iust deep fuzzAdvanced file format fuzzer based-on deep neural language models.
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Malware ClassificationTowards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
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Bit RnnQuantize weights and activations in Recurrent Neural Networks.
Stars: ✭ 86 (+115%)
GestureAIRNN(Recurrent Nerural network) model which recognize hand-gestures drawing 5 figures.
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Solar-Rad-ForecastingIn these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.
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PFL-Non-IIDThe origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…
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Deep-LearningThis repo provides projects on deep-learning mainly using Tensorflow 2.0
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MTL-AQAWhat and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]
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IndRNN pytorchIndependently Recurrent Neural Networks (IndRNN) implemented in pytorch.
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pose2actionexperiments on classifying actions using poses
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Keras TcnKeras Temporal Convolutional Network.
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Text-AnalysisExplaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
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ReservoirCode for Reservoir computing (Echo state network)
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mangoQuestion-Answering NLP model with character-level RNN (TensorFlow).
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LSMLiquid State Machines in Python and NEST
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pred-rnnPredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
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ML2017FALLMachine Learning (EE 5184) in NTU
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AutoSleepScorerAn open-source sleep stage classification Python package
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mmnMoore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks
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pomdp-baselinesSimple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022
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classifying-cancerA Python-Tensorflow neural network for classifying cancer data
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