457 Open source projects that are alternatives of or similar to Cgnl Network.pytorch

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

document classification using LSTM + self attention

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This repo is implemented based on detectron2 and centernet

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My Attempt(s) In The World Of ML/DL....

深度学习/人工智能/机器学习资料汇总(Deep Learning/Artificial Intelligent/Machine Learning) 持续更新……

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

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人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Pointer-generator reinforced seq2seq summarization in PyTorch

[ICLR 2021] Is Attention Better Than Matrix Decomposition?

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

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Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

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all kinds of baseline models for long text classificaiton( text categorization)

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A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

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Domain Guided Dropout for Person Re-identification

Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

《深度学习与计算机视觉》配套代码

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