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TensorFlow code and pre-trained models for BERT
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
DeepFaceLab is the leading software for creating deepfakes.
Image augmentation for machine learning experiments.
A paper list of object detection using deep learning.
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Keras implementations of Generative Adversarial Networks.
Keras code and weights files for popular deep learning models.
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
CnOCR: Awesome Chinese/English OCR Python toolkits based on PyTorch. It comes with 20+ well-trained models for different application scenarios and can be used directly after installation. 【基于 PyTor…
A synthetic data generator for text recognition
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
Official implementation of Character Region Awareness for Text Detection (CRAFT)
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
Text to image synthesis using thought vectors
A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".
Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.
Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"
(CRNN) Chinese Characters Recognition.
A quickstart and benchmark for pytorch distributed training.
A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
PANet for Instance Segmentation and Object Detection
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
R-FCN with joint training and python support