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Jan 10, 2020 - HTML
#
cnn
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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
A High-Quality Real Time Upscaler for Anime Video
video
anime
computer-graphics
cnn
video-processing
neural-networks
convolutional-neural-networks
upsampling
upscaling
anime4k
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Aug 22, 2020 - GLSL
An open source library for face detection in images. The face detection speed can reach 1000FPS.
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May 17, 2020 - C++
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 24, 2020 - Python
Hide screen when boss is approaching.
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Oct 31, 2018 - Python
Build your neural network easy and fast
python
machine-learning
tutorial
reinforcement-learning
neural-network
regression
cnn
pytorch
batch
dropout
generative-adversarial-network
gan
batch-normalization
dqn
classification
rnn
autoencoder
pytorch-tutorial
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Jun 8, 2020 - Jupyter Notebook
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
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Aug 18, 2020 - C++
Tensorflow tutorial from basic to hard
machine-learning
tutorial
neural-network
tensorflow
regression
cnn
dropout
generative-adversarial-network
gan
dqn
classification
rnn
autoencoder
tensorflow-tutorials
deep-q-network
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Aug 5, 2020 - Python
Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.
mobile
embedded
deep-learning
neural-network
robotics
tensorflow
realtime
image-processing
cnn
ros
convolutional-neural-networks
human-pose-estimation
catkin
pose-estimation
mobilenet
openpose
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Aug 20, 2020 - Python
深度学习入门教程, 优秀文章, Deep Learning Tutorial
machine-learning
deep-learning
mxnet
tensorflow
cnn
pytorch
kaggle
gan
rnn
machinelearning
deeplearning
gcn
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Aug 23, 2020 - Jupyter Notebook
Code examples for new APIs of iOS 10.
ios
demo
metal
speech
cnn
swift-3
image-recognition
convolutional-neural-networks
ios10
uiviewpropertyanimator
swift-4
metal-performance-shaders
metal-cnn
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Apr 1, 2020 - Swift
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
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Aug 21, 2020 - Python
CNN-RNN中文文本分类,基于TensorFlow
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May 19, 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
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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May 10, 2020 - Python
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 18, 2020 - Jupyter Notebook
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
tutorial
deep-learning
neural-network
tensorflow
word2vec
chatbot
cnn
gan
mnist
dqn
rnn
autoencoder
seq2seq
inception
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Mar 23, 2019 - Python
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
use cnn recognize captcha by tensorflow. 本项目针对字符型图片验证码,使用tensorflow实现卷积神经网络,进行验证码识别。
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Mar 31, 2020 - Python
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
Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
roadmap
cnn
dnn
tts
rnn
seq2seq
automatic-speech-recognition
papers
language-model
attention-mechanism
speaker-verification
timit-dataset
acoustic-model
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Jul 3, 2020
Tengine is a lite, high performance, modular inference engine for embedded device
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Aug 23, 2020 - C
Deep Learning Based Free Mobile Real-Time Face Landmark Detector.
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Aug 6, 2020 - C++
Open
Notebook Examples
3
kamathhrishi
commented
Jun 27, 2019
The current examples are in the form of scripts. To make easier and more interactive for users of the library it would help to have notebooks demonstrating these examples. For now the notebooks would go under examples folder under branch 2.0 where porting to Python 3+ is happening.
Open
Add Unit Tests
1
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
Collection of popular and reproducible image denoising works.
art
benchmarking
deep-learning
image-reconstruction
reproducible-research
image-processing
cnn
noise
summary
performance-analysis
arxiv
curated-list
implementation
inverse-problems
noise-reduction
image-denoising
image-restoration
recovery-image
state-of-the-art
denoising-algorithms
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Apr 2, 2020
Datasets, tools, and benchmarks for representation learning of code.
python
nlp
data-science
data
machine-learning
natural-language-processing
deep-learning
tensorflow
ml
cnn
open-data
neural-networks
rnn
datasets
representation-learning
nlp-machine-learning
bert
programming-language-theory
self-attention
machine-learning-on-source-code
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Aug 12, 2020 - Jupyter Notebook
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Hi I would like to propose a better implementation for 'test_indices':
We can remove the unneeded np.array casting:
Cleaner/New:
test_indices = list(set(range(len(texts))) - set(train_indices))
Old:
test_indices = np.array(list(set(range(len(texts))) - set(train_indices)))