ConvLSTM-PyTorchConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
Stars: ✭ 202 (+75.65%)
Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+2690.43%)
DrowsyDriverDetectionThis is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.
Stars: ✭ 82 (-28.7%)
QTextRecognizerA gui for tesseractOCR with some preprocessing image options (OpenCV) for improve character recognition
Stars: ✭ 27 (-76.52%)
nips rlCode for NIPS 2017 learning to run challenge
Stars: ✭ 37 (-67.83%)
HasteHaste: a fast, simple, and open RNN library
Stars: ✭ 214 (+86.09%)
Icdar 2019 SroieICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction
Stars: ✭ 202 (+75.65%)
Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (+2872.17%)
Caption generatorA modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.
Stars: ✭ 243 (+111.3%)
algorithmiaNo description or website provided.
Stars: ✭ 15 (-86.96%)
Qa matchA simple effective ToolKit for short text matching
Stars: ✭ 235 (+104.35%)
dnd-lstmA Python(PyTorch) implementation of memory augmented neural network based on Ritter et al. (2018). Been There, Done That: Meta-Learning with Episodic Recall. ICML.
Stars: ✭ 30 (-73.91%)
Rnn ctcRecurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
Stars: ✭ 220 (+91.3%)
ArrayLSTMGPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..
Stars: ✭ 21 (-81.74%)
Siamese LstmSiamese LSTM for evaluating semantic similarity between sentences of the Quora Question Pairs Dataset.
Stars: ✭ 217 (+88.7%)
lstm harLSTM based human activity recognition using smart phone sensor dataset
Stars: ✭ 20 (-82.61%)
R UnetVideo prediction using lstm and unet
Stars: ✭ 25 (-78.26%)
R2Plus1D-C3DA PyTorch implementation of R2Plus1D and C3D based on CVPR 2017 paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition" and CVPR 2014 paper "Learning Spatiotemporal Features with 3D Convolutional Networks"
Stars: ✭ 54 (-53.04%)
DeepsleepnetDeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
Stars: ✭ 200 (+73.91%)
Char Rnn ChineseMulti-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.
Stars: ✭ 192 (+66.96%)
Har Stacked Residual Bidir LstmsUsing deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
Stars: ✭ 250 (+117.39%)
NlstmNested LSTM Cell
Stars: ✭ 246 (+113.91%)
lstm-numpyVanilla LSTM with numpy
Stars: ✭ 17 (-85.22%)
LightnetEfficient, transparent deep learning in hundreds of lines of code.
Stars: ✭ 243 (+111.3%)
tf-ran-cellRecurrent Additive Networks for Tensorflow
Stars: ✭ 16 (-86.09%)
TrafficflowpredictionTraffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).
Stars: ✭ 242 (+110.43%)
Ntm One Shot TfOne Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow
Stars: ✭ 238 (+106.96%)
st dbscanST-DBSCAN: Simple and effective tool for spatial-temporal clustering
Stars: ✭ 82 (-28.7%)
LSTM-sentiment-analysisLSTM sentiment analysis. Please look at my another repo for SVM and Naive algorithem
Stars: ✭ 19 (-83.48%)
Time-Series-ForecastingRainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.
Stars: ✭ 27 (-76.52%)
KprnReasoning Over Knowledge Graph Paths for Recommendation
Stars: ✭ 220 (+91.3%)
Spatio-Temporal-papersThis project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.
Stars: ✭ 180 (+56.52%)
Lstm Siamese Text Similarity⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity
Stars: ✭ 216 (+87.83%)
dltfHands-on in-person workshop for Deep Learning with TensorFlow
Stars: ✭ 14 (-87.83%)
BiLSTM-CRF-NER-PyTorchThis repo contains a PyTorch implementation of a BiLSTM-CRF model for named entity recognition task.
Stars: ✭ 109 (-5.22%)
Tts CubeEnd-2-end speech synthesis with recurrent neural networks
Stars: ✭ 213 (+85.22%)
MultiGraphGANMultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.
Stars: ✭ 16 (-86.09%)
Screenshot To CodeA neural network that transforms a design mock-up into a static website.
Stars: ✭ 13,561 (+11692.17%)
Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Stars: ✭ 202 (+75.65%)
wattnet-fx-tradingWATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series
Stars: ✭ 70 (-39.13%)
Up Down CaptionerAutomatic image captioning model based on Caffe, using features from bottom-up attention.
Stars: ✭ 195 (+69.57%)
Tess4AndroidA new fork base on tess-two and Tesseract 4.0.0
Stars: ✭ 31 (-73.04%)
EBIM-NLIEnhanced BiLSTM Inference Model for Natural Language Inference
Stars: ✭ 24 (-79.13%)
MTL-AQAWhat and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]
Stars: ✭ 38 (-66.96%)