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awesome-incremental-learning

Awesome Incremental Learning

caffe-tensorflow

Caffe models in TensorFlow

cam-python

Class Activation Mapping with Caffe using the Python wrapper pycaffe instead of matlab.

classification_models

Classification models trained on ImageNet. Keras.

cutout-random-erasing

Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras

cvpr15deepcompare

Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

deep-high-resolution-net.pytorch

The project is an official implement of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deep-person-reid

Pytorch implementation of deep person re-identification models.

deep_sort_pytorch

MOT tracking using deepsort yolo3 with pytorch

dgp

Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019

ganotebooks

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

gnnpapers

Must-read papers on graph neural networks (GNN)

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。

keras-drop-block

DropBlock implemented in Keras

keras-mnist-center-loss-with-visualization

An implementation for mnist center loss training and visualization

keras-spp

Spatial pyramid pooling layers for keras

keras_reid

Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

person_reid_baseline_pytorch

Pytorch implement of Person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

rin

smop

Small Matlab to Python compiler

stgcn_ijcai-18

Spatio-Temporal Graph Convolutional Networks

strcf

Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking (CVPR 2018)

tensorflow_center_loss

Center Loss implementation with TensorFlow

tf-dropblock

TensorFlow implementation of DropBlock

tfusion

CVPR2018: Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatio-temporal Patterns

vs-reid

Video Object Segmentation with Re-identification

yolo_deepsort

based on nwojke/deep_sort