deep avsrA PyTorch implementation of the Deep Audio-Visual Speech Recognition paper.
Stars: ✭ 104 (+108%)
BiLSTM-CRF-NER-PyTorchThis repo contains a PyTorch implementation of a BiLSTM-CRF model for named entity recognition task.
Stars: ✭ 109 (+118%)
DeepsleepnetDeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
Stars: ✭ 200 (+300%)
OCROptical character recognition Using Deep Learning
Stars: ✭ 25 (-50%)
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 (+284%)
StylenetA cute multi-layer LSTM that can perform like a human 🎶
Stars: ✭ 187 (+274%)
TinyCogSmall Robot, Toy Robot platform
Stars: ✭ 29 (-42%)
Datastories Semeval2017 Task4Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
Stars: ✭ 184 (+268%)
Word-Level-Eng-Mar-NMTTranslating English sentences to Marathi using Neural Machine Translation
Stars: ✭ 37 (-26%)
Charades AlgorithmsActivity Recognition Algorithms for the Charades Dataset
Stars: ✭ 181 (+262%)
quran-alignWord-accurate timestamps for Qur'anic audio.
Stars: ✭ 139 (+178%)
Deep AlgotradingA resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading
Stars: ✭ 173 (+246%)
datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
Stars: ✭ 20 (-60%)
fall-detection-two-stream-cnnReal-time fall detection using two-stream convolutional neural net (CNN) with Motion History Image (MHI)
Stars: ✭ 49 (-2%)
kdsb17Gaussian Mixture Convolutional AutoEncoder applied to CT lung scans from the Kaggle Data Science Bowl 2017
Stars: ✭ 18 (-64%)
Deep News SummarizationNews summarization using sequence to sequence model with attention in TensorFlow.
Stars: ✭ 167 (+234%)
react-clientAn React client library for Speechly API
Stars: ✭ 71 (+42%)
Accel Brain CodeThe purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
Stars: ✭ 166 (+232%)
lstm-mathNeural network that solves math equations on the character level
Stars: ✭ 26 (-48%)
SequiturLibrary of autoencoders for sequential data
Stars: ✭ 162 (+224%)
tf-ran-cellRecurrent Additive Networks for Tensorflow
Stars: ✭ 16 (-68%)
Keras LmuKeras implementation of Legendre Memory Units
Stars: ✭ 160 (+220%)
Nspm🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.
Stars: ✭ 156 (+212%)
MimickCode for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)
Stars: ✭ 152 (+204%)
speechlessSpeech-to-text based on wav2letter built for transfer learning
Stars: ✭ 92 (+84%)
Multimodal-Gesture-Recognition-with-LSTMs-and-CTCAn end-to-end system that performs temporal recognition of gesture sequences using speech and skeletal input. The model combines three networks with a CTC output layer that recognises gestures from continuous stream.
Stars: ✭ 25 (-50%)
KhronosThe open source intelligent personal assistant
Stars: ✭ 25 (-50%)
Pytorch Image Comp RnnPyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks
Stars: ✭ 146 (+192%)
keras-complexKeras-Tensorflow implementation of complex-valued convolutional neural networks
Stars: ✭ 96 (+92%)
coral-ordinalTensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
Stars: ✭ 52 (+4%)
Deep Learning ResourcesA Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.
Stars: ✭ 141 (+182%)
Unity live captionUse Google Speech-to-Text API to do real-time live stream caption on Unity! Best when combined with your virtual character!
Stars: ✭ 26 (-48%)
ecceML Prediction of Bible Topics and Passages (Python / React)
Stars: ✭ 36 (-28%)
Document Classifier LstmA bidirectional LSTM with attention for multiclass/multilabel text classification.
Stars: ✭ 136 (+172%)
theano-recurrenceRecurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
Stars: ✭ 40 (-20%)
pose2actionexperiments on classifying actions using poses
Stars: ✭ 24 (-52%)
megsA merged version of multiple open-source German speech datasets.
Stars: ✭ 21 (-58%)
UHV-OTS-SpeechA data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.
Stars: ✭ 94 (+88%)
ASVspoof PANo description or website provided.
Stars: ✭ 22 (-56%)
idear🎙️ Handsfree Audio Development Interface
Stars: ✭ 84 (+68%)
TF2DeepFloorplanTF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.
Stars: ✭ 98 (+96%)