A neural network that transforms a design mock-up into a static website.
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Oct 26, 2019 - 173 commits
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A neural network that transforms a design mock-up into a static website.
An open source library for face detection in images. The face detection speed can reach 1500FPS.
Hide screen when boss is approaching.
Build your neural network easy and fast
Tensorflow tutorial from basic to hard
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
Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.
CNN-RNN中文文本分类,基于TensorFlow
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
深度学习入门教程&&优秀文章&&Deep Learning Tutorial
TensorFlow template application for deep learning
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.
Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
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
For further development of the project, it would be great to have unit tests to ensure the project code does not break with further changes/improvements. The tests go under tests folder in 2.0 branch where Python 3+ porting is happening.
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Deep Learning Based Free Mobile Real-Time Face Landmark Localization.
The Places365-CNNs for Scene Classification
In augmentation, elastic_transform, it only applies a random transform on one input image array. I would think to be used for training, the image and mask pair should be transform in the same way. However, this single-input-image, single-output-image method makes it very inconvenient. Could we deform a list of images (np.arrays) using the same transformation in this method ? Thanks!
The deeplearning algorithms implemented by tensorflow
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。
Modify 2_one-pixel-attack-imagenet.ipynb to download a sample subset of ImageNet files with appropriate labels. The files should be preprocessed as to be ready for the attack.
Tengine is a lite, high performance, modular inference engine for embedded device
A Tensorflow implementation of QANet for machine reading comprehension
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)))