battery-rul-estimationRemaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs
Stars: ✭ 25 (-80.62%)
Learning-Lab-C-LibraryThis library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated
Stars: ✭ 20 (-84.5%)
OCROptical character recognition Using Deep Learning
Stars: ✭ 25 (-80.62%)
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 (+42.64%)
deep-improvisationEasy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.
Stars: ✭ 53 (-58.91%)
air writingOnline Hand Writing Recognition using BLSTM
Stars: ✭ 26 (-79.84%)
Ner Lstm CrfAn easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow.
Stars: ✭ 337 (+161.24%)
SpagoSelf-contained Machine Learning and Natural Language Processing library in Go
Stars: ✭ 854 (+562.02%)
SentimentAnalysisSentiment Analysis: Deep Bi-LSTM+attention model
Stars: ✭ 32 (-75.19%)
AilearningAiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Stars: ✭ 32,316 (+24951.16%)
BcpdBayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available
Stars: ✭ 116 (-10.08%)
EchoPython package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)
Stars: ✭ 126 (-2.33%)
All Conv KerasAll Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras
Stars: ✭ 115 (-10.85%)
Rnn Text Classification TfTensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
Stars: ✭ 114 (-11.63%)
Bio corexA flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations
Stars: ✭ 112 (-13.18%)
IcfaceICface: Interpretable and Controllable Face Reenactment Using GANs
Stars: ✭ 122 (-5.43%)
Clearml AgentClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution
Stars: ✭ 117 (-9.3%)
Deeplearning NotesNotes for Deep Learning Specialization Courses led by Andrew Ng.
Stars: ✭ 126 (-2.33%)
Nlp Models TensorflowGathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
Stars: ✭ 1,603 (+1142.64%)
Deepco3[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)
Stars: ✭ 127 (-1.55%)
Lstm AutoencodersAnomaly detection for streaming data using autoencoders
Stars: ✭ 113 (-12.4%)
3dpose ganThe authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations
Stars: ✭ 124 (-3.88%)
DeepcpgDeep neural networks for predicting CpG methylation
Stars: ✭ 113 (-12.4%)
Chinese Chatbot中文聊天机器人,基于10万组对白训练而成,采用注意力机制,对一般问题都会生成一个有意义的答复。已上传模型,可直接运行,跑不起来直播吃键盘。
Stars: ✭ 124 (-3.88%)
CleanlabThe standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.
Stars: ✭ 2,526 (+1858.14%)
MocoUnofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"
Stars: ✭ 112 (-13.18%)
Pytorch convlstmconvolutional lstm implementation in pytorch
Stars: ✭ 126 (-2.33%)
SfmlearnerAn unsupervised learning framework for depth and ego-motion estimation from monocular videos
Stars: ✭ 1,661 (+1187.6%)
Abstractive SummarizationImplementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
Stars: ✭ 128 (-0.78%)
TybaltTraining and evaluating a variational autoencoder for pan-cancer gene expression data
Stars: ✭ 126 (-2.33%)
Multilstmkeras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS
Stars: ✭ 122 (-5.43%)
Lstms.pthPyTorch implementations of LSTM Variants (Dropout + Layer Norm)
Stars: ✭ 111 (-13.95%)
Daguan 2019 rank9datagrand 2019 information extraction competition rank9
Stars: ✭ 121 (-6.2%)
Lipnet PytorchThe state-of-art PyTorch implementation of the method described in the paper "LipNet: End-to-End Sentence-level Lipreading" (https://arxiv.org/abs/1611.01599)
Stars: ✭ 104 (-19.38%)
PaysageUnsupervised learning and generative models in python/pytorch.
Stars: ✭ 109 (-15.5%)
ColorizationAutomatic line art colorization using various types of hint or without hint
Stars: ✭ 125 (-3.1%)
ContextConText v4: Neural networks for text categorization
Stars: ✭ 120 (-6.98%)
ExermoteUsing Machine Learning to predict the type of exercise from movement data
Stars: ✭ 108 (-16.28%)
Auto ml[UNMAINTAINED] Automated machine learning for analytics & production
Stars: ✭ 1,559 (+1108.53%)
Diff2vecReference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
Stars: ✭ 108 (-16.28%)
TesseractThis package contains an OCR engine - libtesseract and a command line program - tesseract.
Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused
on line recognition, but also still supports the legacy Tesseract OCR engine of
Tesseract 3 which works by recognizing character patterns. Compatibility with
Tesseract 3 is enabled by using the Legacy OCR Engine mode (--oem 0).
It also needs traineddata files which support the legacy engine, for example
those from the tessdata repository.
Stars: ✭ 43,199 (+33387.6%)
Simple Neural NetworkCreating a simple neural network in Python with one input layer (3 inputs) and one output neuron.
Stars: ✭ 126 (-2.33%)