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

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Deep learning software for colorizing black and white images with a few clicks.

A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020

Attention-based multimodal fusion for sentiment analysis

ID-discriminative Embedding (IDE) for Person Re-identification

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

Hierarchical Attention Networks for Chinese Sentiment Classification

Auto-ReID and Other Person Re-Identification Projects

Deformable Convolutional Networks on caffe

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

Reimplement RetinaFace use C++ and TensorRT

Train and visualize Hierarchical Attention Networks

A windows caffe implementation of YOLO detection network

Use caffe to train your own data in just one click

Squeeze-and-Excitation Networks

Implementation of Pyramid Attention Networks for Semantic Segmentation.

Oriented Response Networks, in CVPR 2017

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

A Caffe Re-Implementation of SENet

Visualizer for neural network, deep learning, and machine learning models

MTCNN Face Detection & Alignment

The NNEF Tools repository contains tools to generate and consume NNEF documents

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

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

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

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

php wrapper for opencv

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

Light field video applications (e.g. video refocusing, focus tracking, changing aperture and view)

Long Range Arena for Benchmarking Efficient Transformers

Tensorflow implementation of "A Structured Self-Attentive Sentence Embedding"

通用深度学习推理服务，可在生产环境中快速上线由TensorFlow、PyTorch、Caffe框架训练出的深度学习模型。

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

[CVPR'2019]PEN-Net: Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting

Data Augmentation for Caffe

2018-JDDC大赛第4名的解决方案

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Supervised Semantics-preserving Deep Hashing (TPAMI18)

Julia Implementation of Transformer models

The Convolutional Neural Network(CNN) for Android

Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.

Caffe for Sparse Convolutional Neural Network

MTCNN with Motion Detection, on Raspberry Pi with Love

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

Simple implementation of kpzhang93's paper from Matlab to c++, and don't change models.

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.