PaddlePaddle image models, scripts, pretrained weights. Code was heavily based on timm.
-
Updated
Mar 12, 2023 - Python
PaddlePaddle image models, scripts, pretrained weights. Code was heavily based on timm.
Keras code and weights files for popular deep learning models.
FER and Gender Recognition.
Segmentation models with pretrained backbones. PyTorch. for Google Colab cell motility segmentation example.
A pre-trained VGG for fine-tuning and usage in other networks
The moto of the project is automate the parking system through camera .Using yolo-v5 model detect number plate and retrieve information using AWS texract.
AI Models Implementation on Tensorflow
PyTorch-based framework for high-level development of image models. Customize your model with combinations and replacement on classification / detection modules.
The tools for translate the pretrained TensorFlow model checkpoint to the torch model
Text To Motion Images With Diffusion Models
Uses a Pretrained Network (using Google's Deepmind) to generate images.
Uisng Deep Sort + Yolov3 model Pretrained on COCO dataset for passenger detection and counting
Pretrained Efficient DenseNet Model
Experiment with pre-training spaCy
Tensorflow implementations of ConvNeXt V1 + V2 models w/ weights, including conversion and evaluation scripts.
pytorch implementation of several CNNs for image classification
TensorFlow version of SqueezeNet with converted pretrained weights
Concise, Modular, Human-friendly PyTorch implementation of EfficientNet with Pre-trained Weights.
A Pytorch implementation of the 2017 Huang et. al. paper "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization"
Pytorch implements yolov3.Good performance, easy to use, fast speed.
Add a description, image, and links to the pretrained-weights topic page so that developers can more easily learn about it.
To associate your repository with the pretrained-weights topic, visit your repo's landing page and select "manage topics."