yanghedada's repositories
2019_algorithm_intern_information
2020年的算法实习岗位信息表，部分包括内推码，和常见深度学习算法岗面试题及答案，暑期计算机视觉实习面经和总结
awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Awesome-Super-Resolution
Collect super-resolution related papers, data, repositories
books-recommendation
程序员进阶、面试书籍（视频），持续更新（Programmer Books）
books_list_backup_2018_2019
book lab
cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/
cvpr2019_Pyramid-Feature-Attention-Network-for-Saliency-detection
code and model of Pyramid Feature Selective Network for Saliency detection
Deep-Learning-Interview-Book
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
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，50余万字。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
DigixContest
用户人口属性预测竞赛
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
FSRNET_pytorch
Dear Friend, Having tried several ways, I tried to reproduce the performance of FSRNet by using Pytorch. I am Now transferring to another new project FSRNet, You can download the code and run at your own machine. Feel free to contact me.
huawei_Algorithm_contest
华为算法大赛香港boost、
Improved-YOLOv3-for-UAV
在无人机视角数据集基础上，使用改进的YOLOv3模型进行人物检测精度和准确度提升
JavaGuide
【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
Knowledge-Distillation-Zoo
Pytorch implementation of various Knowledge Distillation (KD) methods.
model-compression
model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)
monoloco
[ICCV 2019] Official implementation of "MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation" in PyTorch + Social Distancing
NAS-DIP-pytorch
[ECCV 2020] NAS-DIP: Learning Deep Image Prior with Neural Architecture Search
Object-detection-using-yolov2-and-distance-estimation
Object detection using yolov2 and estimation of object from the camera lens
object_specific_dist_from_monucular_image_iccv19
Open Source Implementation of the paper "Learning Object Specific Distance From a Monocular Image" published in ICCV 2019
ProtoPNet
This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).
real-world-sr
[ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This code was the winning solution of the AIM challenge on Real-World Super-Resolution at ICCV 2019
RoIAlign.pytorch
RoIAlign & crop_and_resize for PyTorch
VideoSuperResolution
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.