Python
dream-creatorProGamerGov/dream-creator
A PyTorch implementation of DeepDream. Allows individuals to quickly and easily train their own custom GoogleNet models with custom datasets for DeepDream.
Deep learningVisionData & viz
71 updated 4y ago
neural-dream
ProGamerGov/neural-dream
A PyTorch implementation of DeepDream.
- deepdream
- pytorch
- visualization
- computer-vision
- resnet
- googlenet
- inception
- vgg
More in Python
Streamlitstreamlit/streamlit
Streamlit is an framework to create beautiful data apps in hours, not weeks.
GeneralDeep learningData & viz
46.1k updated today
timmrwightman/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more.
Deep learningVision
37.2k updated 4d ago
detectron2facebookresearch/detectron2
FAIR's next-generation research platform for object detection and segmentation. It is a ground-up rewrite of the previous version, Detectron, and is powered by the PyTorch deep learning framework.
Deep learningVision
34.9k updated 4d ago
Detectronfacebookresearch/Detectron Archived
FAIR's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework.
Deep learningVision
26.3k archived
OpenFacecmusatyalab/openface
Free and open source face recognition with deep neural networks.
Deep learningVision
15.4k updated 10d ago
albumentationsalbu/albumentations Archived
А fast and framework agnostic image augmentation library that implements a diverse set of augmentation techniques. Supports classification, segmentation, detection out of the box. Was used to win a number of Deep Learning competitions at Kaggle, Topcoder and those that were a part of the CVPR workshops.
Deep learningVision
15.3k archived
segmentation_models.pytorchqubvel/segmentation_models.pytorch
A PyTorch-based toolkit that offers pre-trained segmentation models for computer vision tasks. It simplifies the development of image segmentation applications by providing a collection of popular architecture implementations, such as UNet and PSPNet, along with pre-trained weights, making it easier for researchers and developers to achieve high-quality pixel-level object segmentation in images.
Deep learningVision
11.8k updated 1d ago