HirataYurina/ShuffleNetV2-SqueezeNet-Inception HirataYurina/ShuffleNetV2-SqueezeNet-Inception

  • Stars
    star
    6
  • Rank 2,526,957 (Top 51 %)
  • Language
    Python
  • Created over 4 years ago
  • Updated over 3 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
HirataYurina/ShuffleNetV2-SqueezeNet-Inception
github

HirataYurina

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

ShuffleNetV2, SqueezeNet, inceptionV1 implemented by tensorflow2.0

More 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

weighted-boxes-fusion

Weighted Boxes Fusion
Python
6
star
7

sort-YOLOv4-techi

My yolo4 and sort codes that implement avoiding invasion module.
Python
6
star
8

DarkFantasy

computer vision kit implemented by tf2.0
Python
5
star
9

seResnXet

seRexneXt implemented by tensorflow2.0
Python
5
star
10

cascade-rcnn-tf2.2

cascade rcnn, faster rcnn implemented by tensorflow2.2 and GHM CLoss, GHM RLoss, Pseudo Labeling
Jupyter Notebook
4
star
11

haze-removal-with-dark-channel

dehaze with dark channel prior
Python
4
star
12

yolo-prediction-2.X-techi

Now, just support 416*416 resolution, more resolution will support in the future.
Python
4
star
13

machine-learning

Just Machine Learning and I think Machine Learning is more difficult than Deep Learning.
Python
4
star
14

torch-onnx-tensorflow

use onnx inference architecture in intelligent construction. (.pth to .onnx to .pb)
Python
4
star
15

frequently-used-website

life is a struggle
3
star
16

data-augment-toolkit-numpy

a data augment toolkit
Python
3
star
17

tensorflow-deploy

use tensorflow-serving to deploy projects, use tensorRT to accelerate projects, exchange FP32 to FP16, FP32 to INT8
Python
3
star
18

model-metric-techi

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

danger_source_crawler

Python
2
star
21

Mask-Rcnn-tf2

use tensorflow2 to implement mask rcnn
Python
2
star
22

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
23

EfficientDet-tensorflow2

EfficientDet implemented by tensorflow2.0
Python
2
star
24

DuelingDeepQLearning

reinforcement learning
Python
1
star
25

OpenCL-CUDA-Performance

Cuda
1
star
26

SVM-C-plus

C++ codes
C++
1
star
27

kaggle-lirui

some kaggle code
Python
1
star
28

DDPG-tensorflow2.2

DDPG algorithm written by tensorflow2.2
Python
1
star