Joker (@HirataYurina)
github

HirataYurina

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  • Stars
    star
    134
  • Global Rank 167,484 (Top 6 %)
  • Followers 8
  • Following 10
  • Registered about 5 years ago
  • Most used languages
    Python
         88.9 %
    Cuda     3.7 %
    Jupyter Notebook
         3.7 %
    C++
         3.7 %
  • Location 🇨🇳 China
  • Country Total Rank 19,662
  • Country Ranking
    Cuda     295
    Jupyter Notebook
         3,087
    Python
         4,313

Top repositories

1

yolov4-tiny-keras

yolov4-tiny is a good choice when you don't have expensive devices.
Python
16
star
2

simple-pose-estimation-torch-techi

Only 200 lines code to predict single person pose estimation. A simple prediction module of "Simple Baselines for Human Pose Estimation and Tracking".
Python
8
star
3

yoloV4-keras-techi

yoloV4 implemented by keras and tf backend. Enjoy it, my homie.
Python
8
star
4

RetinaNet-tf2.X-sibyl

use eager tf to do my projects because it is difficult to debug with frozen graph
Python
7
star
5

yoloV3-keras-sibyl

so cool. I used yolov3, gaussian yolov3, asff yolov3 to do my project.
Python
7
star
6

ShuffleNetV2-SqueezeNet-Inception

ShuffleNetV2, SqueezeNet, inceptionV1 implemented by tensorflow2.0
Python
6
star
7

weighted-boxes-fusion

Weighted Boxes Fusion
Python
6
star
8

sort-YOLOv4-techi

My yolo4 and sort codes that implement avoiding invasion module.
Python
6
star
9

DarkFantasy

computer vision kit implemented by tf2.0
Python
5
star
10

seResnXet

seRexneXt implemented by tensorflow2.0
Python
5
star
11

cascade-rcnn-tf2.2

cascade rcnn, faster rcnn implemented by tensorflow2.2 and GHM CLoss, GHM RLoss, Pseudo Labeling
Jupyter Notebook
4
star
12

haze-removal-with-dark-channel

dehaze with dark channel prior
Python
4
star
13

yolo-prediction-2.X-techi

Now, just support 416*416 resolution, more resolution will support in the future.
Python
4
star
14

machine-learning

Just Machine Learning and I think Machine Learning is more difficult than Deep Learning.
Python
4
star
15

torch-onnx-tensorflow

use onnx inference architecture in intelligent construction. (.pth to .onnx to .pb)
Python
4
star
16

frequently-used-website

life is a struggle
3
star
17

data-augment-toolkit-numpy

a data augment toolkit
Python
3
star
18

tensorflow-deploy

use tensorflow-serving to deploy projects, use tensorRT to accelerate projects, exchange FP32 to FP16, FP32 to INT8
Python
3
star
19

HirataYurina-YOLOV3-tensorflow2.0-master

i want to use convenient and concise tensorflow2.X to implement yoloV3 algorithm
Python
3
star
20

model-metric-techi

use mAP, recall, precision, f-measure, roc, auc to estimate your model.
3
star
21

danger_source_crawler

Python
2
star
22

Mask-Rcnn-tf2

use tensorflow2 to implement mask rcnn
Python
2
star
23

insightface-retinaface-tf-techi

Just use a little codes to implement insight face and retina face. And i apply this algorithm into intelligent construction.
Python
2
star
24

EfficientDet-tensorflow2

EfficientDet implemented by tensorflow2.0
Python
2
star
25

DuelingDeepQLearning

reinforcement learning
Python
1
star
26

OpenCL-CUDA-Performance

Cuda
1
star
27

SVM-C-plus

C++ codes
C++
1
star
28

kaggle-lirui

some kaggle code
Python
1
star
29

DDPG-tensorflow2.2

DDPG algorithm written by tensorflow2.2
Python
1
star