Pinned Repositories
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
3DMPPE_POSENET_RELEASE
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
AdderNet
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
AnchorFreeDetection
list the paper for recently anchor free detector
automl
Google Brain AutoML
awesome-AutoML-and-Lightweight-Models
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
Awesome-Deep-Neural-Network-Compression
Summary, Code for Deep Neural Network Quantization
Awesome-NAS
A curated list of neural architecture search (NAS) resources.
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
tpu
Reference models and tools for Cloud TPUs.
Yudachi-poi-poi's Repositories
Yudachi-poi-poi/Awesome-Deep-Neural-Network-Compression
Summary, Code for Deep Neural Network Quantization
Yudachi-poi-poi/3DMPPE_POSENET_RELEASE
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
Yudachi-poi-poi/AdderNet
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
Yudachi-poi-poi/automl
Google Brain AutoML
Yudachi-poi-poi/Awesome-NAS
A curated list of neural architecture search (NAS) resources.
Yudachi-poi-poi/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
Yudachi-poi-poi/benchmark_results
Visual Tracking Paper List
Yudachi-poi-poi/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
Yudachi-poi-poi/CVPR2021-Papers-with-Code
CVPR 2021 论文和开源项目合集
Yudachi-poi-poi/darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Yudachi-poi-poi/ghostnet
[CVPR2020] Surpassing MobileNetV3: "GhostNet: More Features from Cheap Operations"
Yudachi-poi-poi/ghostnet.pytorch
[CVPR2020] Surpassing MobileNetV3: "GhostNet: More Features from Cheap Operations"
Yudachi-poi-poi/HitDet.pytorch
Yudachi-poi-poi/huawei-aifood
Yudachi-poi-poi/InterpretableMLBook
《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版
Yudachi-poi-poi/jetson-inference
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Yudachi-poi-poi/MegEngine
MegEngine 是一个快速、可拓展、易于使用且支持自动求导的数值计算框架
Yudachi-poi-poi/MMdnn
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Yudachi-poi-poi/multi-object-tracking-paper-list
Paper list and source code for multi-object-tracking
Yudachi-poi-poi/NAS-FCOS
NAS-FCOS: Fast Neural Architecture Search for Object Detection (CVPR 2020)
Yudachi-poi-poi/prepare_detection_dataset
convert dataset to coco/voc format
Yudachi-poi-poi/range_net_plus_plus
rangeNet++
Yudachi-poi-poi/ros-yolov3-sort
YOLO v3 + SORT tracking + ROS platform, SORT supports python(original) and C++. Not Deep SORT
Yudachi-poi-poi/TensorRT-YOLOv4
tensorrt5, yolov4, yolov3,yolov3-tniy,yolov3-tniy-prn
Yudachi-poi-poi/tianshou
An elegant, flexible, and superfast PyTorch deep Reinforcement Learning platform.
Yudachi-poi-poi/TLNet
Triangulation Learning Network: from Monocular to Stereo 3D Object Detection | KITTI
Yudachi-poi-poi/Tutorials
Various tutorials
Yudachi-poi-poi/voc2coco
Convert pascol voc annotation xml to COCO json format.
Yudachi-poi-poi/Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Yudachi-poi-poi/yolo_deepsort
Fast MOT base on yolo+deepsort, support yolo3 and yolo4