Php Opencvphp wrapper for opencv
Stars: ✭ 194 (-23.02%)
CAM-PythonClass Activation Mapping with Caffe using the Python wrapper pycaffe instead of matlab.
Stars: ✭ 66 (-73.81%)
Yolov4 PytorchThis is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO
Stars: ✭ 1,070 (+324.6%)
caffe-demoCollection of deep learning demos based on neworks from the Caffe Zoo
Stars: ✭ 15 (-94.05%)
Flownet2 DockerDockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)
Stars: ✭ 137 (-45.63%)
Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (+1256.35%)
XLearning-GPUqihoo360 xlearning with GPU support; AI on Hadoop
Stars: ✭ 22 (-91.27%)
Time AttentionImplementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
Stars: ✭ 52 (-79.37%)
XlearningAI on Hadoop
Stars: ✭ 1,709 (+578.17%)
SSD TrackerCounting people, dog and bicycle using SSD detection and tracking.
Stars: ✭ 17 (-93.25%)
Jacinto Ai DevkitTraining & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models
Stars: ✭ 49 (-80.56%)
vqa-softAccompanying code for "A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models" CVPR 2017 VQA workshop paper.
Stars: ✭ 14 (-94.44%)
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%)
TensorRT-LPR车牌识别,基于HyperLPR实现,修改模型调用方法,使用caffe+tensorRT实现GPU加速,修改了车牌检测模型
Stars: ✭ 14 (-94.44%)
SBR⌛ Introducing Self-Attention to Target Attentive Graph Neural Networks (AISP '22)
Stars: ✭ 22 (-91.27%)
Vqa regatResearch Code for ICCV 2019 paper "Relation-aware Graph Attention Network for Visual Question Answering"
Stars: ✭ 129 (-48.81%)
Biblosa PytorchRe-implementation of Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling (T. Shen et al., ICLR 2018) on Pytorch.
Stars: ✭ 43 (-82.94%)
caffeThis fork of BVLC/Caffe is dedicated to supporting Cambricon deep learning processor and improving performance of this deep learning framework when running on Machine Learning Unit(MLU).
Stars: ✭ 40 (-84.13%)
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%)
AttentionsPyTorch implementation of some attentions for Deep Learning Researchers.
Stars: ✭ 39 (-84.52%)
darknet2caffeConversion of yolo from DarkNet to Caffe
Stars: ✭ 25 (-90.08%)
Image Caption GeneratorA neural network to generate captions for an image using CNN and RNN with BEAM Search.
Stars: ✭ 126 (-50%)
R2CNNcaffe re-implementation of R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection
Stars: ✭ 80 (-68.25%)
Unreal caffeSelf Maintained Caffe. In this version Faster-RCNN, RFCN needs layer are fully supported!
Stars: ✭ 38 (-84.92%)
Light Field Video Light field video applications (e.g. video refocusing, focus tracking, changing aperture and view)
Stars: ✭ 190 (-24.6%)
ddrlDeep Developmental Reinforcement Learning
Stars: ✭ 27 (-89.29%)
caffeCaffe: a Fast framework for deep learning. Custom version with built-in sparse inputs, segmentation, object detection, class weights, and custom layers
Stars: ✭ 36 (-85.71%)
NTUA-slp-nlp💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA
Stars: ✭ 19 (-92.46%)
AttentionclusterTensorFlow Implementation of "Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification"
Stars: ✭ 33 (-86.9%)
RNNSearchAn implementation of attention-based neural machine translation using Pytorch
Stars: ✭ 43 (-82.94%)
Long Range ArenaLong Range Arena for Benchmarking Efficient Transformers
Stars: ✭ 235 (-6.75%)
AoA-pytorchA Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering
Stars: ✭ 33 (-86.9%)
DefactonlpDeFactoNLP: An Automated Fact-checking System that uses Named Entity Recognition, TF-IDF vector comparison and Decomposable Attention models.
Stars: ✭ 30 (-88.1%)
SeqfaceSeqFace : Making full use of sequence information for face recognition
Stars: ✭ 125 (-50.4%)
iPerceiveApplying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021
Stars: ✭ 52 (-79.37%)
Mxnet2caffeconvert model from mxnet to caffe without lossing precision
Stars: ✭ 20 (-92.06%)
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%)
Hey JetsonDeep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.
Stars: ✭ 161 (-36.11%)
VpgnetVPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)
Stars: ✭ 382 (+51.59%)