Predictive Maintenance Using LstmExample of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
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datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
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Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
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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".
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Deep Learning Time SeriesList of papers, code and experiments using deep learning for time series forecasting
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DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
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Flow ForecastDeep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
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Bidaf KerasBidirectional Attention Flow for Machine Comprehension implemented in Keras 2
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Pytorch Kaldipytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
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JlmA fast LSTM Language Model for large vocabulary language like Japanese and Chinese
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DkerasDistributed Keras Engine, Make Keras faster with only one line of code.
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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).
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Time AttentionImplementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
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Ner LstmNamed Entity Recognition using multilayered bidirectional LSTM
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Resnetcam KerasKeras implementation of a ResNet-CAM model
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SangitaA Natural Language Toolkit for Indian Languages
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Gdax Orderbook MlApplication of machine learning to the Coinbase (GDAX) orderbook
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Pytorch convlstmconvolutional lstm implementation in pytorch
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Up Down CaptionerAutomatic image captioning model based on Caffe, using features from bottom-up attention.
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Screenshot To CodeA neural network that transforms a design mock-up into a static website.
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HasteHaste: a fast, simple, and open RNN library
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Keras UnetHelper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
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OnednnoneAPI Deep Neural Network Library (oneDNN)
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TfmesosTensorflow in Docker on Mesos #tfmesos #tensorflow #mesos
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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 (-11.93%)
OneflowOneFlow is a performance-centered and open-source deep learning framework.
Stars: ✭ 2,868 (+1215.6%)
HnattTrain and visualize Hierarchical Attention Networks
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3dmmasstnMatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)
Stars: ✭ 218 (+0%)
Tts CubeEnd-2-end speech synthesis with recurrent neural networks
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Deep Mri ReconstructionDeep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo
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Free Ai Resources🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
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HdltexHDLTex: Hierarchical Deep Learning for Text Classification
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Character Based CnnImplementation of character based convolutional neural network
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Focal Loss KerasBinary and Categorical Focal loss implementation in Keras.
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Generative inpaintingDeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
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GermanwordembeddingsToolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets
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Icdar 2019 SroieICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction
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Lstm Siamese Text Similarity⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity
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Siamese LstmSiamese LSTM for evaluating semantic similarity between sentences of the Quora Question Pairs Dataset.
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MegalodonVarious ML/DL Resources organised at a single place.
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StylenetA cute multi-layer LSTM that can perform like a human 🎶
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Tensorflow Deep LearningAll course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Stars: ✭ 170 (-22.02%)
Deep Survey Text ClassificationThe project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.
Stars: ✭ 187 (-14.22%)
PlotneuralnetLatex code for making neural networks diagrams
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TrixiManage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.
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