DeepdetectDeep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Stars: ✭ 2,306 (+815.08%)
Datastories Semeval2017 Task4Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
Stars: ✭ 184 (-26.98%)
Liteflownet2A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020
Stars: ✭ 195 (-22.62%)
Snn toolboxToolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
Stars: ✭ 187 (-25.79%)
ColorizationAutomatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
Stars: ✭ 2,791 (+1007.54%)
Hidden Two StreamCaffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"
Stars: ✭ 179 (-28.97%)
Doc Han AttHierarchical Attention Networks for Chinese Sentiment Classification
Stars: ✭ 206 (-18.25%)
GamA PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Stars: ✭ 227 (-9.92%)
PixelnetThe 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/>.
Stars: ✭ 194 (-23.02%)
RetinafaceReimplement RetinaFace use C++ and TensorRT
Stars: ✭ 241 (-4.37%)
HnattTrain and visualize Hierarchical Attention Networks
Stars: ✭ 192 (-23.81%)
Caffe OneclickUse caffe to train your own data in just one click
Stars: ✭ 187 (-25.79%)
SenetSqueeze-and-Excitation Networks
Stars: ✭ 2,850 (+1030.95%)
OrnOriented Response Networks, in CVPR 2017
Stars: ✭ 207 (-17.86%)
AttentionnAll about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.
Stars: ✭ 175 (-30.56%)
AppnpA PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Stars: ✭ 234 (-7.14%)
Senet CaffeA Caffe Re-Implementation of SENet
Stars: ✭ 169 (-32.94%)
NetronVisualizer for neural network, deep learning, and machine learning models
Stars: ✭ 17,193 (+6722.62%)
Nnef ToolsThe NNEF Tools repository contains tools to generate and consume NNEF documents
Stars: ✭ 165 (-34.52%)
Self Attention CvImplementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
Stars: ✭ 209 (-17.06%)
Up Down CaptionerAutomatic image captioning model based on Caffe, using features from bottom-up attention.
Stars: ✭ 195 (-22.62%)
Ai lawall kinds of baseline models for long text classificaiton( text categorization)
Stars: ✭ 243 (-3.57%)
GraphtransformerGraph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
Stars: ✭ 187 (-25.79%)
Caffe2 IosCaffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.
Stars: ✭ 221 (-12.3%)
Php Opencvphp wrapper for opencv
Stars: ✭ 194 (-23.02%)
Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (+1256.35%)
Ck CaffeCollective 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):
Stars: ✭ 192 (-23.81%)
Neat VisionNeat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)
Stars: ✭ 213 (-15.48%)
Light Field Video Light field video applications (e.g. video refocusing, focus tracking, changing aperture and view)
Stars: ✭ 190 (-24.6%)
Long Range ArenaLong Range Arena for Benchmarking Efficient Transformers
Stars: ✭ 235 (-6.75%)
Dl inference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。
Stars: ✭ 209 (-17.06%)
Graph attention poolAttention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
Stars: ✭ 186 (-26.19%)
Cnn face detectionImplementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR
Stars: ✭ 251 (-0.4%)
Pen Net For Inpainting[CVPR'2019]PEN-Net: Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
Stars: ✭ 206 (-18.25%)
Rnn For Joint NluPytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
Stars: ✭ 176 (-30.16%)
Transformers.jlJulia Implementation of Transformer models
Stars: ✭ 173 (-31.35%)
CnnforandroidThe Convolutional Neural Network(CNN) for Android
Stars: ✭ 245 (-2.78%)
Video CaffeVideo-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
Stars: ✭ 172 (-31.75%)
DsrgWeakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).
Stars: ✭ 206 (-18.25%)
Caffe Segnet Cudnn5This 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.
Stars: ✭ 167 (-33.73%)
SkimcaffeCaffe for Sparse Convolutional Neural Network
Stars: ✭ 230 (-8.73%)
Change Detection ReviewA 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.
Stars: ✭ 248 (-1.59%)
Astgcn⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch
Stars: ✭ 246 (-2.38%)
Mtcnn caffeSimple implementation of kpzhang93's paper from Matlab to c++, and don't change models.
Stars: ✭ 244 (-3.17%)
Dgd person reidDomain Guided Dropout for Person Re-identification
Stars: ✭ 229 (-9.13%)
Guided Attention Inference NetworkContains 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.
Stars: ✭ 204 (-19.05%)