bochuan wu's repositories
Agricultural-Disease-Classification
AIchallenger2018 Agricultural-Disease 农作物病害检测
NAIC_reid_challenge
首届“全国人工智能大赛”（行人重识别 Person ReID 赛项）
aiyanxishe
ai研习社代码
NAIC_Person_Reid
全国人工智能大赛
IFLY_advertisement-cheating_2019
2019科大讯飞AI反欺诈
NAIC_Person_ReID_DMT
This is Top 3 Code for the Person ReID Compitition of NAIC
antialiased-cnns
Antialiasing cnns to improve stability and accuracy. In ICML 2019.
awesome-wechat-weapp
微信小程序开发资源汇总 :100:
cpp_study
follow me to study modern c++
deep-person-reid
Deep learning person re-identification in PyTorch.
deep-text-recognition-benchmark
Text recognition (optical character recognition) with deep learning methods.
detr
End-to-End Object Detection with Transformers
Face-Detector-1MB-with-landmark
1M人脸检测模型(含关键点)
gans-with-pytorch
Various implementations of Generative adversarial networks using Pytorch
involution_pytorch
Unofficial implementation of the Involution operation from CVPR 2021
Just-Another-Rather-Very-Intelligent-System
try to build a J.A.R.V.I.S. with chatbot(BERT), object detection(YOLO),speech recognition，search(crawler)
modern-cpp-tutorial
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly
naic_reid
This is Top19 Code for the Person ReID Compitition of NAIC
OpenVtuber
虚拟爱抖露共享计划
Pyramidal_Person_ReID
A simple reproduction of Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training (CVPR2019).
pytorch-YOLOv4
PyTorch ,ONNX and TensorRT implementation of YOLOv4
reid-strong-baseline
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
res2net-plus
Res2Net architecture with improved stem and Mish activation function
Simple-tensorflow-in-chinese
中文tensorflow使用手册
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
ViViT-pytorch
Implementation of ViViT: A Video Vision Transformer
Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.