R UnetVideo prediction using lstm and unet
Stars: ✭ 25 (-16.67%)
MTL-AQAWhat and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]
Stars: ✭ 38 (+26.67%)
datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
Stars: ✭ 20 (-33.33%)
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 (+173.33%)
bert-squeeze🛠️ Tools for Transformers compression using PyTorch Lightning ⚡
Stars: ✭ 56 (+86.67%)
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 (-10%)
AttentionRepository for Attention Algorithm
Stars: ✭ 39 (+30%)
dltfHands-on in-person workshop for Deep Learning with TensorFlow
Stars: ✭ 14 (-53.33%)
gans-2.0Generative Adversarial Networks in TensorFlow 2.0
Stars: ✭ 76 (+153.33%)
keras-deep-learningVarious implementations and projects on CNN, RNN, LSTM, GAN, etc
Stars: ✭ 22 (-26.67%)
STAR Network[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained
Stars: ✭ 16 (-46.67%)
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 (+33.33%)
rnn-theanoRNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano
Stars: ✭ 68 (+126.67%)
Speech-RecognitionEnd-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Stars: ✭ 21 (-30%)
pytorch-deepfashionpytorch implementation of the deepfashion architecture (https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_DeepFashion_Powering_Robust_CVPR_2016_paper.pdf)
Stars: ✭ 35 (+16.67%)
Qa matchA simple effective ToolKit for short text matching
Stars: ✭ 235 (+683.33%)
NlstmNested LSTM Cell
Stars: ✭ 246 (+720%)
sequence-rnn-pySequence analyzing using Recurrent Neural Networks (RNN) based on Keras
Stars: ✭ 28 (-6.67%)
LightnetEfficient, transparent deep learning in hundreds of lines of code.
Stars: ✭ 243 (+710%)
pose2actionexperiments on classifying actions using poses
Stars: ✭ 24 (-20%)
Patient2VecPatient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
Stars: ✭ 85 (+183.33%)
Ntm One Shot TfOne Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow
Stars: ✭ 238 (+693.33%)
Simple-TensorA simplification of Tensorflow Tensor Operations
Stars: ✭ 17 (-43.33%)
KprnReasoning Over Knowledge Graph Paths for Recommendation
Stars: ✭ 220 (+633.33%)
fiction generatorFiction generator with Tensorflow. 模仿王小波的风格的小说生成器
Stars: ✭ 27 (-10%)
dnn-lstm-word-segmentChinese Word Segmention Base on the Deep Learning and LSTM Neural Network
Stars: ✭ 24 (-20%)
Lstm Siamese Text Similarity⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity
Stars: ✭ 216 (+620%)
pred-rnnPredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
Stars: ✭ 115 (+283.33%)
Siamese LstmSiamese LSTM for evaluating semantic similarity between sentences of the Quora Question Pairs Dataset.
Stars: ✭ 217 (+623.33%)
Tts CubeEnd-2-end speech synthesis with recurrent neural networks
Stars: ✭ 213 (+610%)
Screenshot To CodeA neural network that transforms a design mock-up into a static website.
Stars: ✭ 13,561 (+45103.33%)
iPerceiveApplying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021
Stars: ✭ 52 (+73.33%)
voice zaloaidentifying gender and regional accent from speech
Stars: ✭ 35 (+16.67%)
playing with vaeComparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
Stars: ✭ 53 (+76.67%)
Icdar 2019 SroieICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction
Stars: ✭ 202 (+573.33%)
Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Stars: ✭ 202 (+573.33%)
Tess4AndroidA new fork base on tess-two and Tesseract 4.0.0
Stars: ✭ 31 (+3.33%)
DeepsleepnetDeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
Stars: ✭ 200 (+566.67%)
Up Down CaptionerAutomatic image captioning model based on Caffe, using features from bottom-up attention.
Stars: ✭ 195 (+550%)
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 (+86.67%)