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ActionDetectionforSignLanguageby nicknochnack
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A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.
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keras implementation of conditional random field
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Chinese text detection and recognition based on CTPN + DENSENET using Keras and Tensor Flow,使用keras和tensorflow基于CTPN+Densenet实现的中文文本检测和识别
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lstm-siamese-text-similarityby amansrivastava17
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Using Keras+TensorFlow to solve NCFM-Leadboard Top 5%
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Keras# initiated as an effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK
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keras-english-resume-parser-and-analyzerby chen0040
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keras project that parses and analyze english resumes
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Deep-Learning Model Exploration and Development for NLP
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Binary and Categorical Focal loss implementation in Keras.
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[unmaintained] Make seq2seq for keras work
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:credit_card: Detecting the National Identification Cards with Deep Learning (Faster R-CNN)
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随着移动云计算和边缘计算的快速发展,以及人工智能的广泛应用,产生了边缘智能(Edge Intelligence)的概念。深度神经网络(例如CNN)已被广泛应用于移动智能应用程序中,但是移动设备有限的存储和计算资源无法满足深度神经网络计算的需求。神经网络压缩与加速技术可以加速神经网络的计算,例如剪枝、量化、卷积核分解等。但是这些技术在实际应用非常复杂,并且可能导致模型精度的下降。在移动云计算或边缘计算中,任务卸载技术可以突破移动终端的资源限制,减轻移动设备的计算负载并提高任务处理效率。通过任务卸载技术优化深度神经网络成为边缘智能研究中的新方向。Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge这篇文章提出了协同推断的思想,将深度神经网络进行分区,一部分层在移动端计算,而另一部分在云端计算。根据硬件平台、无线网络以及服务器负载等因素实现动态分区,降低时延以及能耗。本项目给出了边缘智能方面的相关论文,并且给出了一个Python语言实现的卷积神经网络协同推断实验平台。关键词:边缘智能(Edge Intelligence),计算卸载(Computing Offloading),CNN模型分区(CNN Partition),协同推断(Collaborative Inference),移动云计算(Mobile Cloud Computing)
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Gradient based Hyperparameter Tuning library in PyTorch
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color-accessibility-neural-network-deeplearnjsby javascript-machine-learning
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🍃 Using a Neural Network to improve web accessibility in JavaScript.
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Video-Classification-CNN-and-LSTM-by sagarvegad
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Deep Learning for Land-cover Classification in Hyperspectral Images.
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A generalized gradient-based CNN visualization technique
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image-to-3d-bboxby experiencor
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Build a CNN network to predict 3D bounding box of car from 2D image.
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keras-elmoby strongio
How to use ELMo embeddings in Keras with Tensorflow Hub
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LSTM_Attentionby ningshixian
attention-based LSTM/Dense implemented by Keras
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LSTM-Music-Genre-Classificationby ruohoruotsi
Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch
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CNN-3D-images-Tensorflowby jibikbam
3D image classification using CNN (Convolutional Neural Network)
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DeepConvLSTMby STRCWearlab
Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
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ActionDetectionforSignLanguageby nicknochnack
A practical implementation of sign language estimation using an LSTM NN built on TF Keras.
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caption_generatorby anuragmishracse
A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.
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crfby bojone
keras implementation of conditional random field
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text-detection-ocrby GlassyWing
Chinese text detection and recognition based on CTPN + DENSENET using Keras and Tensor Flow,使用keras和tensorflow基于CTPN+Densenet实现的中文文本检测和识别
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lstm-siamese-text-similarityby amansrivastava17
⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity
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248
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Keras-Semantic-Segmentationby BBuf
Keras-Semantic-Segmentation
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3DCNNby kcct-fujimotolab
3D convolutional neural network for video classification
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246
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panottiby drscotthawley
A multi-channel neural network audio classifier using Keras
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unet-gan-mattingby eti-p-doray
Background Removal based on U-Net
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Kaggle_NCFMby pengpaiSH
Using Keras+TensorFlow to solve NCFM-Leadboard Top 5%
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keras-sharpby cesarsouza
Keras# initiated as an effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK
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KerasDeepSpeechby robmsmt
A Keras CTC implementation of Baidu's DeepSpeech for model experimentation
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244
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carbontrackerby lfwa
Track and predict the energy consumption and carbon footprint of training deep learning models.
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keras-english-resume-parser-and-analyzerby chen0040
keras project that parses and analyze english resumes
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m
mead-baselineby dpressel
Deep-Learning Model Exploration and Development for NLP
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focal-loss-kerasby umbertogriffo
Binary and Categorical Focal loss implementation in Keras.
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Adaptive_Affinity_Fieldsby twke18
Adaptive Affinity Fields for Semantic Segmentation
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keras_npiby mokemokechicken
NPI(Neural Programmer-Interpreters) implementation with Keras
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layer-normby ryankiros
Code and models from the paper "Layer Normalization"
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dl-models-for-qaby sujitpal
Keras DL models to answer 8th grade science multiple choice questions (Kaggle AllenAI competition).
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sl-quantby danielzak
Companion code for the "Self Learning Quant" blog post
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age-estimation-pytorchby yu4u
PyTorch-based CNN implementation for estimating age from face images
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deephackby BishopFox
PoC code from DEF CON 25 presentation
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text_classification_AI100by lc222
AI100文本分类竞赛代码。从传统机器学习到深度学习方法的测试
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NTM-One-Shot-TFby hmishra2250
One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow
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HereIsWallyby tadejmagajna
Deep learning project that solves Where's Wally puzzles by finding Wally in an image
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squeezenet_demoby DT42
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debug_seq2seqby nicolas-ivanov
[unmaintained] Make seq2seq for keras work
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keras-examplesby nzw0301
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darkonby darkonhub
Toolkit to Hack Your Deep Learning Models
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TSNE-UMAP-Embedding-Visualisationby harveyslash
A Simple and easy to use way to Visualise Embeddings!
HTML
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id-card-detectorby mesutpiskin
:credit_card: Detecting the National Identification Cards with Deep Learning (Faster R-CNN)
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Edge-Intelligenceby wyc941012
随着移动云计算和边缘计算的快速发展,以及人工智能的广泛应用,产生了边缘智能(Edge Intelligence)的概念。深度神经网络(例如CNN)已被广泛应用于移动智能应用程序中,但是移动设备有限的存储和计算资源无法满足深度神经网络计算的需求。神经网络压缩与加速技术可以加速神经网络的计算,例如剪枝、量化、卷积核分解等。但是这些技术在实际应用非常复杂,并且可能导致模型精度的下降。在移动云计算或边缘计算中,任务卸载技术可以突破移动终端的资源限制,减轻移动设备的计算负载并提高任务处理效率。通过任务卸载技术优化深度神经网络成为边缘智能研究中的新方向。Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge这篇文章提出了协同推断的思想,将深度神经网络进行分区,一部分层在移动端计算,而另一部分在云端计算。根据硬件平台、无线网络以及服务器负载等因素实现动态分区,降低时延以及能耗。本项目给出了边缘智能方面的相关论文,并且给出了一个Python语言实现的卷积神经网络协同推断实验平台。关键词:边缘智能(Edge Intelligence),计算卸载(Computing Offloading),CNN模型分区(CNN Partition),协同推断(Collaborative Inference),移动云计算(Mobile Cloud Computing)
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adatuneby awslabs
Gradient based Hyperparameter Tuning library in PyTorch
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in-silico-labelingby google
Code for In silico labeling: Predicting fluorescent labels in unlabeled images
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color-accessibility-neural-network-deeplearnjsby javascript-machine-learning
🍃 Using a Neural Network to improve web accessibility in JavaScript.
JavaScript
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QualCoderby ccbogel
Qualitative data analysis for text, images, audio, video. Cross platform. Python 3.7 or newer and PyQt6.
Python
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Video-Classification-CNN-and-LSTM-by sagarvegad
To classify video into various classes using keras library with tensorflow as back-end.
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Hyperspectralby KGPML
Deep Learning for Land-cover Classification in Hyperspectral Images.
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Grad_CAM_plus_plusby adityac94
A generalized gradient-based CNN visualization technique
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image-to-3d-bboxby experiencor
Build a CNN network to predict 3D bounding box of car from 2D image.
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yolo-hand-detectionby cansik
A pre-trained YOLO based hand detection network.
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