Gorazor's repositories
cppbestpractices
Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.
CS229-ML-Implements
Implements of cs229(Machine Learning taught by Andrew Ng) in python.
CV_interview_in_a_day
一天准备好CV算法面试,个人经过面试阿里,字节,美团,滴滴,百度,快手等公司后,整理的面经,只包含高频内容,保证在一天之内可以放心食用完毕。
CVPR2021-Paper-Code-Interpretation
cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
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)
iccv19_attribute
Code for the paper "Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization", ICCV 2019, http://arxiv.org/abs/1910.04562.
imbalanced-dataset-sampler
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
Subspace-Methods
部分空间法
Keras-Classification-Models
Collection of Keras models used for classification
onnxruntime_backend
The Triton backend for the ONNX Runtime.
Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
PseudoLabeling
Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"
reid-strong-baseline
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
server
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
spatial-transformer-network
A Tensorflow Implementation of Spatial Transformer Networks
Strong_Baseline_of_Pedestrian_Attribute_Recognition
a solid and strong baseline of pedestrian attribute recognition
tensorrt_backend
The Triton backend for TensorRT.
Torch-TensorRT
PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT
triplet-loss-mnist
Triplet Loss 损失函数
yolov5_prune
yolov5剪枝,支持v2,v3,v4版本的yolov5