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)
Stars: ✭ 119 (+205.13%)
Image Caption GeneratorA neural network to generate captions for an image using CNN and RNN with BEAM Search.
Stars: ✭ 126 (+223.08%)
EBIM-NLIEnhanced BiLSTM Inference Model for Natural Language Inference
Stars: ✭ 24 (-38.46%)
Tess4AndroidA new fork base on tess-two and Tesseract 4.0.0
Stars: ✭ 31 (-20.51%)
deep-char-cnn-lstmDeep Character CNN LSTM Encoder with Classification and Similarity Models
Stars: ✭ 20 (-48.72%)
QTextRecognizerA gui for tesseractOCR with some preprocessing image options (OpenCV) for improve character recognition
Stars: ✭ 27 (-30.77%)
GATEThe implementation of "Gated Attentive-Autoencoder for Content-Aware Recommendation"
Stars: ✭ 65 (+66.67%)
tf-ran-cellRecurrent Additive Networks for Tensorflow
Stars: ✭ 16 (-58.97%)
bert-squeeze🛠️ Tools for Transformers compression using PyTorch Lightning ⚡
Stars: ✭ 56 (+43.59%)
ArrayLSTMGPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..
Stars: ✭ 21 (-46.15%)
SpeakerDiarization RNN CNN LSTMSpeaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).
Stars: ✭ 56 (+43.59%)
algorithmiaNo description or website provided.
Stars: ✭ 15 (-61.54%)
R UnetVideo prediction using lstm and unet
Stars: ✭ 25 (-35.9%)
Simple-TensorA simplification of Tensorflow Tensor Operations
Stars: ✭ 17 (-56.41%)
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 (-23.08%)
lstm harLSTM based human activity recognition using smart phone sensor dataset
Stars: ✭ 20 (-48.72%)
pred-rnnPredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
Stars: ✭ 115 (+194.87%)
Compact-Global-DescriptorPytorch implementation of "Compact Global Descriptor for Neural Networks" (CGD).
Stars: ✭ 22 (-43.59%)
voice zaloaidentifying gender and regional accent from speech
Stars: ✭ 35 (-10.26%)
pose2actionexperiments on classifying actions using poses
Stars: ✭ 24 (-38.46%)
reasoning attentionUnofficial implementation algorithms of attention models on SNLI dataset
Stars: ✭ 34 (-12.82%)
Show and TellShow and Tell : A Neural Image Caption Generator
Stars: ✭ 74 (+89.74%)
lstm-numpyVanilla LSTM with numpy
Stars: ✭ 17 (-56.41%)
LSTM-sentiment-analysisLSTM sentiment analysis. Please look at my another repo for SVM and Naive algorithem
Stars: ✭ 19 (-51.28%)
air writingOnline Hand Writing Recognition using BLSTM
Stars: ✭ 26 (-33.33%)
BiLSTM-CRF-NER-PyTorchThis repo contains a PyTorch implementation of a BiLSTM-CRF model for named entity recognition task.
Stars: ✭ 109 (+179.49%)
MachineLearningImplementations of machine learning algorithm by Python 3
Stars: ✭ 16 (-58.97%)
MTL-AQAWhat and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]
Stars: ✭ 38 (-2.56%)
extkerasPlayground for implementing custom layers and other components compatible with keras, with the purpose to learn the framework better and perhaps in future offer some utils for others.
Stars: ✭ 18 (-53.85%)
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 (+110.26%)
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 (-30.77%)
dnn-lstm-word-segmentChinese Word Segmention Base on the Deep Learning and LSTM Neural Network
Stars: ✭ 24 (-38.46%)
dltfHands-on in-person workshop for Deep Learning with TensorFlow
Stars: ✭ 14 (-64.1%)
SANET"Arbitrary Style Transfer with Style-Attentional Networks" (CVPR 2019)
Stars: ✭ 21 (-46.15%)
novel writerTrain LSTM to writer novel (HongLouMeng here) in Pytorch.
Stars: ✭ 14 (-64.1%)
G2PGrapheme To Phoneme
Stars: ✭ 59 (+51.28%)
SentimentAnalysis(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset
Stars: ✭ 40 (+2.56%)
sequence-rnn-pySequence analyzing using Recurrent Neural Networks (RNN) based on Keras
Stars: ✭ 28 (-28.21%)
LearningMetersPoemsOfficial repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700
Stars: ✭ 18 (-53.85%)