QJSQJS's repositories
interview_internal_reference
2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
FlowNetPytorch
Pytorch implementation of FlowNet by Dosovitskiy et al.
deep_learning_object_detection
A paper list of object detection using deep learning.
deeplearning-models
A collection of various deep learning architectures, models, and tips
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Aggregation-Cross-Entropy
Aggregation Cross-Entropy for Sequence Recognition. CVPR 2019.
chromego
ChromeGo 翻墙工具包
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
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
Easiest-SRGAN-demo
最简单的基于SRGAN网络的实现， 附带已训练好的模型及GIF生成代码， 更适合作为Demo展示
plotsmooth
it can smooth your plot
micromouse
电脑鼠程序
Detect-Object-and-6D-Pose
(1) 3D scan object by Baxter. (2) Label objects automatically by depth camera and (3) train Yolo. (4) [TODO; NOT DONE YET!!!] Finally, detect object and fit 3D model to know the 6D pose.
Image-Processing
Image Processing and Computer Vision tasks using OpenCV Python: motion tracking, face detection, tumor segmentation
pytorch-project
Some pytorch projects self-fork
My-TensorFlow-tutorials
TensorFlow 学习笔记和分享
Keras-CNN-mnist-classification
LeNet, AleNet, VGGNet, GoogleNet, ResNet are used for MNIST dataset based on keras.
deeplearning
https://github.com/scutan90/DeepLearning-500-questions
dowsDNS
快速翻跃**防火墙
Channel-Estimation
Simulates an FBMC and OFDM transmission over a doubly-selective channel. Allows to reproduce all figures from "Doubly-Selective Channel Estimation in FBMC-OQAM and OFDM Systems", IEEE VTC Fall, 2018
Padestrian-Detection
Padestrian Detection in images using HOG Vector
nms_python
Non-Maximum Suppression for Object Detection in Python