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80 search results found
Pytorch Kaldi
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2,138
pytorch-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.
Captcha_break
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1,677
验证码识别
Nlp Models Tensorflow
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1,329
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
Cryptocurrencyprediction
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715
Predict Cryptocurrency Price with Deep Learning
Eeg Dl
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563
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Nmt Keras
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514
Neural Machine Translation with Keras
Seq2seq
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502
Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch
Baiduyun_deeplearning_competition
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363
百度云魅族深度学习应用大赛
Easy Deep Learning With Keras
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336
Keras tutorial for beginners (using TF backend)
Haste
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298
Haste: a fast, simple, and open RNN library
Hands On Deep Learning Algorithms With Python
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241
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
Rnn_ctc
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216
Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
Hg Mldl
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199
<혼자 공부하는 머신러닝+딥러닝>의 코드 저장소입니다.
Dts
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157
A Keras library for multi-step time-series forecasting.
Chinese Automatic Speech Recognition
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157
Chinese speech recognition
Prediction Flow
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136
Deep-Learning based CTR models implemented by PyTorch
See Rnn
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135
RNN and general weights, gradients, & activations visualization in Keras & TensorFlow
Nmtpy
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128
nmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines.
Speech Recognition Neural Network
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128
This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
Hierarchical Attention Network
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117
Implementation of Hierarchical Attention Networks in PyTorch
Rnn Text Classification Tf
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112
Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
Lightnn
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111
The light deep learning framework for study and for fun. Join us!
Recurrent Ppo Truncated Bptt
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82
Baseline implementation of recurrent PPO using truncated BPTT
Hands On Ml
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69
Hands-On Machine Learning
Cs224n_project
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65
Neural Image Captioning in TensorFlow.
Capsnet Nlp
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64
CapsNet for NLP
Sg Deep Question Generation
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61
This repository contains code and models for the paper: Semantic Graphs for Generating Deep Questions (ACL 2020).
Seq2seq_pointer_generator_summarizer
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59
A deep learning neural network for abstractive deep summarization
Multi Stage Convstar Network
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53
[RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies
Textclassification
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52
deep learning in text classification(keras)
Note_music_generator
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48
Recurrentjava
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46
Deep Recurrent Neural Nets in Java
Dl_notebooks
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42
This repo contains all the notebooks mentioned in blog.
Malware_detect2
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38
Malware Classification using Machine learning
Overview And Benchmark Of Traditional And Deep Learning Models In Text Classification
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38
NLP tutorial
Aff Wild Models
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35
Rnn Notebooks
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33
RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
Theano Kaldi Rnn
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29
THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.
Nilm Thresholding
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28
⚠️ This repository is no longer actively maintained. It previously dealt with Non-Intrusive Load Monitoring (NILM), focusing on predicting household appliance status from aggregated power load data. We explored different thresholding methods and evaluated deep learning models for regression and classification tasks.
Sentence Classification Pytorch
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28
Sentiment analysis with variable length sequences in pytorch
Sudl
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27
light deep neural network tools box(LSTM,GRU,RNN,CNN,Bi-LSTM,etc)
Zeta Learn
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27
zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib
3han
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26
3HAN: A Deep Neural Network for Fake News Detection: https://link.springer.com/chapter/10.1007%2F978-3-
Chinesepoemgeneration
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25
基于深度学习的古诗生成(deep learning based Chinese poem generation)
Sp2cp
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23
Imageboard bot with recurrent neural network (RNN, GRU)
Pytorch Pos Tagger
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22
Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN
Chase
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22
Cyber Hate detection And tracking on Social mEdia
Deep Learning Coursera
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21
This repository contains the programming assignments for Deep Learning specialization courses by Andrew Ng. It deals with the following concepts. DNNs, Hyperparameter tuning, Regularization, Optimization, CNNs (LeNet5, AlexNet, VGG, ResNet, Inception Network), Transfer Learning (Neural Style Transfer), RNNs (LSTM, GRU) and Structuring Machine Learning Projects.
Easynlp
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20
Do NLP without coding! Simple NLP framework.
Deep Learning Collection
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19
Tensorflow Deep Learning
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18
用TensorFlow搭建CNN/RNN/LSTM/GRU/BiRNN/BiLSTM/BiGRU/C Network等deep learning模型
Nyyelp
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18
predicting yelp review rating using recurrent neural networks
Learningmeterspoems
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16
Official repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700
Image Captioning
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16
Image Captioning from scratch
Deep Learning Models
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15
Implementing from scratch: NN, RNN, LSTM, GRU and CNN using theano.
Lstm Gru From Scratch
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15
LSTM, GRU cell implementation from scratch in tensorflow
Forestcoverchange
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15
Detecting and Predicting Forest Cover Change in Pakistani Areas Using Remote Sensing Imagery
Ecgclassifier
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15
CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)
Cryptocurrency Prediction With Artificial Intelligence V3.0 Gru Neural Network
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15
Cryptocurrency Prediction with Artificial Intelligence V3.0 [GRU Neural Network]
Quant Geom Machine Learning
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15
Im2latex
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14
An implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem
Mydl
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14
Deep Learning
Stackable Recurrent Network
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14
[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained
Deep Learning For Expression Recognition In Image Sequences
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14
The project uses state of the art deep learning on collected data for automatic analysis of emotions.
Deep Nmt Architectures
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13
Training scripts for paper Miceli Barone et al. 2017 "Deep Architectures for Neural Machine Translation"
Fdia Pdm
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10
False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics
Text_classification_pytorch
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10
deep neural models for text classification implemented in pytorch
Speechrecognition
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10
Small-footprint Keyword Spotting
Gcn Gru
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10
Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data
Deep_learning_course
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9
Notebooks pour le cours Deep Learning de zéro à la certification Tensorflow
Pytorch Rnn Tutorial
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9
PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting
Haplophysh
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9
🎣 Using deep learning (word level and character level embeddings combined with GRU layers) to detect Phishing using the URL
Respiratory Diseases Recognition Through Respiratory Sound With The Help Of Deep Neural Network
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8
Prediction of respiratory diseases such as COPD(Chronic obstructive pulmonary disease), URTI(upper respiratory tract infection), Bronchiectasis, Pneumonia, Bronchiolitis with the help of deep neural networks or deep learning. We have constructed a deep neural network model that takes in respiratory sound as input and classifies the condition of its respiratory system. It not only classifies among the above-mentioned disease but also classifies if a person’s respiratory system is healthy or not w
Energy_consumption_prediction
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8
Energy consumption prediction using LSTM/GRU networks in PyTorch
Sentiment Analysis Imdb Movie Review
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8
Recurrent Neural Network to classify the sentiments of the IMDb Movie Review.
Udacity Deep_learning
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8
Jupyter notebooks (with answers) used during the Deep Learning MOOC
Deep_learning_onboarding
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8
List of resources for deep learning
Snore Sound Classification By Deep Learning
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7
Readingcomprehension
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7
Bi-Directional Attention Flow for Machine Comprehensions
Siamesenet Text Similarity
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7
Short text similarity matching model based on deep learning and machine learning
Simplepythonrnn
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7
Only in native python & numpy
Spoken Language Identification
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6
Implement a GRU/LSTM model using Keras, and train it to classify the languages using MFCC features
Text Classification
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6
Classifying sentences from theses abstracts. Competition from AI-CUP
Irony And Sarcasm Detection In Arabic Tweets
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6
This repo represents model developed for Irony and sentiment detection in Arabic tweets in WANLP shared tasks on sarcasm and sentiment detection in Arabic tweets
Memory Transformer Xl
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6
A variant of Transformer-XL where the memory is updated not with a queue, but with attention
Cryptocurrency_market_prediction
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6
Time Series based analysis of cryptocurrency prediction using deep learning models
Charrnn
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6
Character Level Language Modelling using PyTorch
Keras Enigma Rnn
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6
kerasのRNNでEnigmaを解きます
Awesomedeeplearningguidance Timeseriesdata
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6
Application guidance of deep learning models(CNN, RNN, LSTNet and so on) on time series data
Deep Learning For Natural Language Processing
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5
Solve your natural language processing problems with smart deep neural networks
Gru Text Generator
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5
Implementation of character level auto text generator using multilayered GRU in Keras
Ntu_ants Lab
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5
Advanced Network Technologies and Services Laboratory (先進網路資訊安全實驗室)
Rnn Pixel Prediction
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5
In-painting: Implement LSTM based pixel prediction to predict the missing pixel in an image
Enzyme Classification
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5
Predict the enzyme class of a given FASTA sequence using deep learning methods including CNNs, LSTM, BiLSTM, GRU, and attention models along with a host of other ML methods.
Scrnn Tensorflow
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5
Tensorflow implementation of SCRNN cell
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