Tesseract Open Source OCR Engine (main repository)
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Aug 24, 2020 - C++
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lstm
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AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
python
nlp
svm
scikit-learn
sklearn
regression
logistic
dnn
lstm
pca
rnn
deeplearning
kmeans
adaboost
apriori
fp-growth
svd
naivebayes
mahchine-leaning
recommendedsystem
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Jul 14, 2020 - Python
A neural network that transforms a design mock-up into a static website.
machine-learning
deep-learning
jupyter
keras
jupyter-notebook
cnn
lstm
floydhub
seq2seq
cnn-keras
encoder-decoder
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Jan 10, 2020 - HTML
Machine learning, in numpy
machine-learning
reinforcement-learning
word2vec
lstm
neural-networks
gaussian-mixture-models
vae
topic-modeling
attention
resnet
bayesian-inference
wavenet
mfcc
knn
gaussian-processes
hidden-markov-models
gradient-boosting
wgan-gp
good-turing-smoothing
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Aug 19, 2020 - Python
Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai
python
machine-learning
data-mining
ocr
deep-learning
image-processing
cnn
pytorch
lstm
optical-character-recognition
crnn
scene-text
scene-text-recognition
chinese-ocr
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Aug 26, 2020 - Python
中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！
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Feb 11, 2019 - Python
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
audio
deep-learning
tensorflow
paper
end-to-end
evaluation
cnn
lstm
speech-recognition
rnn
automatic-speech-recognition
feature-vector
data-preprocessing
phonemes
timit-dataset
layer-normalization
rnn-encoder-decoder
chinese-speech-recognition
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Feb 24, 2020 - Python
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
machine-learning
deep-learning
neural-network
tensorflow
activity-recognition
recurrent-neural-networks
lstm
rnn
human-activity-recognition
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Mar 14, 2020 - Jupyter Notebook
Deep learning driven jazz generation using Keras & Theano!
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May 29, 2019 - Python
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
deep-learning
monte-carlo
trading-bot
lstm
stock-market
stock-price-prediction
seq2seq
learning-agents
stock-price-forecasting
evolution-strategies
lstm-sequence
stock-prediction-models
deep-learning-stock
strategy-agent
monte-carlo-markov-chain
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Jul 11, 2020 - Jupyter Notebook
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
nlp
natural-language-processing
tutorial
sentiment-analysis
word-embeddings
transformers
cnn
pytorch
recurrent-neural-networks
lstm
rnn
fasttext
bert
sentiment-classification
pytorch-tutorial
pytorch-tutorials
cnn-text-classification
lstm-sentiment-analysis
pytorch-nlp
torchtext
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Aug 27, 2020 - Jupyter Notebook
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
tutorial
pytorch
transformer
lstm
gru
rnn
seq2seq
attention
neural-machine-translation
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encoder-decoder
pytorch-tutorial
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encoder-decoder-model
pytorch-implmention
pytorch-nlp
torchtext
pytorch-implementation
pytorch-seq2seq
cnn-seq2seq
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Jun 1, 2020 - Jupyter Notebook
TensorFlow template application for deep learning
machine-learning
csv
deep-learning
tensorflow
inference
cnn
lstm
tensorboard
mlp
libsvm
tfrecords
wide-and-deep
serving
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Jan 3, 2019 - Python
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.
deep-neural-networks
deep-learning
speech
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lstm
gru
speech-recognition
rnn
kaldi
rnn-model
asr
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multilayer-perceptron-network
timit
dnn-hmm
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Jun 11, 2020 - Python
LSTM and QRNN Language Model Toolkit for PyTorch
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May 7, 2020 - Python
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
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Nov 12, 2019 - Jupyter Notebook
NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
natural-language-processing
crf
cnn
pytorch
artificial-intelligence
lstm
named-entity-recognition
neural-networks
chunking
ner
char-rnn
part-of-speech-tagger
sequence-labeling
nbest
lstm-crf
char-cnn
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Apr 11, 2020 - Python
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
nlp
machine-learning
embedded
deep-learning
chatbot
language-detection
lstm
summarization
attention
speech-to-text
neural-machine-translation
optical-character-recognition
pos-tagging
lstm-seq2seq-tf
dnc-seq2seq
luong-api
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Jul 20, 2020 - Jupyter Notebook
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
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Jul 7, 2020
The deeplearning algorithms implemented by tensorflow
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Feb 27, 2019 - Jupyter Notebook
Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
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Oct 9, 2019 - Python
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
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Jan 10, 2019 - Python
Use unsupervised and supervised learning to predict stocks
python
machine-learning
artificial-intelligence
lstm
yahoo-finance-api
stock-price-prediction
autoencoder
artificial-neural-networks
trading-strategies
quantitative-finance
algorithmic-trading
wavelet-transform
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Jun 18, 2020 - Python
Tesseract Open Source OCR Engine (main repository)
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Jun 29, 2020 - C++
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
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Jul 10, 2020 - Jupyter Notebook
Some interesting TensorFlow tutorials for beginners.
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May 22, 2018 - Jupyter Notebook
abdulfatir
commented
Dec 29, 2017
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It seems that the doc website is using a router in hash mode. For example, URL of the index of the reference section is https://learn.ml5js.org/docs/#/reference/index. There is a hash tag "#" in the URL.
This may make it a little obfuscating for people who want to memorize the link and share it with others.
I recommend changing the router from hash mode to history mode to remove the ugly has