y78h11b09's repositories
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
densecap-tensorflow
Re-implement CVPR2017 paper: "dense captioning with joint inference and visual context" and minor changes in Tensorflow. (mAP 8.296 after 500k iters of training)
self-critical.pytorch
Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning; py3 version in py3 branch (it actually should be compatible to both py2 and py3)
cocoapi
COCO API - Dataset @ http://cocodataset.org/
transformer_image_caption
Image Captioning based on Bottom-Up and Top-Down Attention model
Pytorch-Memory-Utils
pytorch memory track code
Pytorch_Learning
Pytorch learning
densecap
Dense captioning with joint inference and visual context
Play-with-Linear-Algebra
Codes of my MOOC Course <Play with Linear Algebra>. Updated contents and practices are also included. 我在慕课网上的课程《玩转线性代数》示例代码，使用Python语言。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
DeepCaption
DeepCaption is a PyTorch-based framework for image captioning research using deep learning.
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Amusi-Note
Amusi 笔记
image-paragraph-captioning
PyTorch implementation of Training for Diversity in Image Paragraph Captioning
Image_Captioning_AI_Challenger
Code for AI Challenger contest. (Generating chinese image captions)
py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
seqGAN
A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
RetinaNet
An implementation of RetinaNet in PyTorch.
tf-faster-rcnn-windows
tf-faster-rcnn windows 实现
CNIC
Chinese Image captioning method based on deep multimodal semantic fusion
pytorch-multi-label-classifier
A pytorch implemented classifier for Multiple-Label classification
im2p
Tensorflow implementation of paper: A Hierarchical Approach for Generating Descriptive Image Paragraphs
SPICE
Semantic Propositional Image Caption Evaluation
up-down-attention
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
noc
Novel Object Captioner - Captioning Images with diverse objects
AttentionModule
PyTorch Implementation of Residual Attention Network for Semantic Segmentation.
Identifying-Clothing-Attributes
Pretrained VGG-16 network as feature extractor for Object Recognition (Python, Keras, Scikit-Learn)