GreatEngineer's Stars
fjchange/awesome-video-anomaly-detection
Papers for Video Anomaly Detection, released codes collection, Performance Comparision.
jayleicn/recurrent-transformer
[ACL 2020] PyTorch code for MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning
salesforce/densecap
scopeInfinity/Video2Description
Video to Text: Natural language description generator for some given video. [Video Captioning]
nuclearboy95/Anomaly-Detection-PatchSVDD-PyTorch
zhenshen-mla/FCRN
A Pytorch implement of 《Deeper Depth Prediction with Fully Convolutional Residual Networks》
zhenshen-mla/pytorch-grad-norm
Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning adjustable weight coefficients.
zhenshen-mla/Depth-Map-Prediction-from-a-Single-Image-using-a-Multi-Scale-Deep-Network
PyTorch implementation of the paper
zhenshen-mla/NDDR-CNN-PyTorch
PyTorch Implementation of "NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction"
zhenshen-mla/pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
zhenshen-mla/ParetoMTL
Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning
zhenshen-mla/PCGrad
Code for "Gradient Surgery for Multi-Task Learning"
zhenshen-mla/Grad-CAM.pytorch
pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...
zhenshen-mla/MultiObjectiveOptimization
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
zhenshen-mla/simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
zhenshen-mla/ML-in-Action
The site is constantly updated. Machine Learning in Action!
zhenshen-mla/ContinuousParetoMTL
[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"
zhenshen-mla/Series-Photo-Selection
Pytorch implementation of Paper:"LEARNING MULTI-SCALE ATTENTIVE FEATURES FOR SERIES PHOTO SELECTION" //ICASSP2020//Jin Huang, Chaoran Cui, Chunyun Zhang, Zhen Shen
zhenshen-mla/faster-rcnn-pytorch
这是一个faster-rcnn的pytorch实现的库,可以利用voc数据集格式的数据进行训练。
zhenshen-mla/yolov4-pytorch
这是一个YoloV4-pytorch的源码,可以用于训练自己的模型。
zhenshen-mla/Aesthetic-Emotion-Dataset
IAE Dataset, produced by Chaoran Cui, Zhen Shen, Jun Yu. A large scale dataset to facilitate multi-task learning for unified image aesthetics and emotion prediction.
zhenshen-mla/AFANet
Pytorch implementation of Paper:"Adaptive Feature Aggregation in Deep Multi-task Convolutional Neural Networks."//Chaoran Cui, Zhen Shen, Jin Huang
zhenshen-mla/Support-Vector-Machine
SVM有三宝,间隔、对偶、核技巧......
zhenshen-mla/Image-classification
We experiment on cifar-10 dataset using three kinds of network structures: VGG, ResNet and GoogLeNet.
zhenshen-mla/Satellite-Image-Segmentation
A prototype system for semantic segmentation of Satellite Images. The executable file is 700MB, model parameters are 40MB, and the computation cost is 266 in GFLOPS.
geekxh/hello-algorithm
🌍 针对小白的算法训练 | 包括四部分:①.大厂面经 ②.力扣图解 ③.千本开源电子书 ④.百张技术思维导图(项目花了上百小时,希望可以点 star 支持,🌹感谢~)推荐免费ChatGPT使用网站
afatcoder/LeetcodeTop
汇总各大互联网公司容易考察的高频leetcode题🔥
wolverinn/Waking-Up
计算机基础(计算机网络/操作系统/数据库/Git...)面试问题全面总结,包含详细的follow-up question以及答案;全部采用【问题+追问+答案】的形式,即拿即用,直击互联网大厂面试;可用于模拟面试、面试前复习、短期内快速备战面试...
yeyunzaifufan/leetcode-java
greyireland/algorithm-pattern
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~