Handwriting GenerationImplementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).
Stock Prediction ModelsGathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Personality DetectionImplementation of a hierarchical CNN based model to detect Big Five personality traits
Ner Lstm CrfAn easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow.
BasicocrBasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。
Stock Trading MlA stock trading bot that uses machine learning to make price predictions.
Bcdu NetBCDU-Net : Medical Image Segmentation
Deep srlCode and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next
KrakenOCR engine for all the languages
Unet ZooA collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation
Cs291k🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models
ParaphraserSentence paraphrase generation at the sentence level
RnnsharpRNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
Lstm Human Activity RecognitionHuman Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Carrot🥕 Evolutionary Neural Networks in JavaScript
DeeptradeA LSTM model using Risk Estimation loss function for stock trades in market
lstmLSTM based on go and gorgonia
ThioThio - a playground for real-time anomaly detection
sgrnnTensorflow implementation of Synthetic Gradient for RNN (LSTM)
Pytorch-POS-TaggerPart-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN
hcnHybrid Code Networks https://arxiv.org/abs/1702.03274
stylenetA pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"
Text-AnalysisExplaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
video autoencoderVideo lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf
tiny-rnnLightweight C++11 library for building deep recurrent neural networks
knowledge-graph-nlp-in-action从模型训练到部署,实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。
virnetVirNet: A deep attention model for viral reads identification
DeepSentiPersRepository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"
HTR-ctcPytorch implementation of HTR on IAM dataset (word or line level + CTC loss)
autonomioCore functionality for the Autonomio augmented intelligence workbench.
CS231nMy solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
Dense BiLSTMTensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification
rnn2dCPU and GPU implementations of some 2D RNN layers