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https://github.com/tensorlayer/tlxzoo
Pre-trained backbones for TensorLayerX
https://github.com/tensorlayer/tlxzoo
jittor mindspore oneflow paddlepaddle pytorch tensorflow tensorlayer tensorlayerx
Last synced: about 1 month ago
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Pre-trained backbones for TensorLayerX
- Host: GitHub
- URL: https://github.com/tensorlayer/tlxzoo
- Owner: tensorlayer
- License: apache-2.0
- Created: 2022-01-14T07:29:11.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-03-05T09:07:05.000Z (10 months ago)
- Last Synced: 2024-07-09T15:22:00.437Z (6 months ago)
- Topics: jittor, mindspore, oneflow, paddlepaddle, pytorch, tensorflow, tensorlayer, tensorlayerx
- Language: Python
- Homepage:
- Size: 2.07 MB
- Stars: 32
- Watchers: 4
- Forks: 7
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
Pre-trained models based on TensorLayerX.
TensorLayerX is a multi-backend AI framework, which can run on almost all operation systems and AI hardwares, and support hybrid-framework programming. The currently version supports TensorFlow, MindSpore, PaddlePaddle, PyTorch, OneFlow and Jittor as the backends.
# Quick Start
## Installation
### pip
```bash
# install from pypi
pip3 install tlxzoo
```
### docker
```bash
docker pull xiaolong0612/tlxzoo:0.0.1
# run docker
cd /workspace/tlxzoo
python demo/vision/image_classification/vgg/predict.py
```
## train
```bash
python demo/vision/image_classification/vgg/train.py
```
### pretrained model
https://pan.baidu.com/s/1FZiHSthgX2FqynBP9cJ6_A?pwd=8dbs
## predict
```bash
python demo/vision/image_classification/vgg/predict.py
```
# Scenes and Models
TLXZOO currently covers 4 fields and 12 tasks. They ares listed below:
## Vision
### Object Detection
- [DETR](demo/vision/object_detection/detr)
- [PPYOLOE](demo/vision/object_detection/ppyoloe)
### Image Classification
- [ResNet](demo/vision/image_classification/resnet)
- [VGG](demo/vision/image_classification/vgg)
- [EfficientNet](demo/vision/image_classification/efficientnet)
### Image Segmentation
- [UNet](demo/vision/image_segmentation/unet)
### Face Recognition
- [RetinaFace](demo/vision/face_recognition/retinaface)
- [ArcFace](demo/vision/face_recognition/arcface)
### Human Pose Estimation
- [HRNet](demo/vision/human_pose_estimation/hrnet)
### Facial Landmark Detection
- [PFLD](demo/vision/facial_landmark_detection/pfld)
### OCR
- [TrOCR](demo/vision/ocr/trocr)
## Text
### Text Classification
- [BERT](demo/text/text_classification/bert)
- [T5](demo/text/text_classification/t5)
### Text Conditional Generation
- [T5](demo/text/nmt/t5)
### Text Token Classidication
- [BERT](demo/text/token_classification/bert)
- [T5](demo/text/token_classification/t5)
## Speech
### Automatic Speech Recognition
- [wav2vec](demo/speech/automatic_speech_recognition/wav2vec)
## Graph
### Node Classification
- [GCN](tlxzoo/module/gcn/gcn.py)