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All Algorithms implemented in Python
Models and examples built with TensorFlow
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YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Image-to-Image Translation in PyTorch
PyTorch implementations of Generative Adversarial Networks.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Super Resolution for images using deep learning.
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
告别枯燥,致力于打造 Python 实用小例子,更多Python良心教程见 https://ai-jupyter.com
Synthesizing and manipulating 2048x1024 images with conditional GANs
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…
dataset and code for 2016 paper "Learning a Driving Simulator"
Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow
Collection of generative models in Tensorflow
text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别
Flops counter for convolutional networks in pytorch framework
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Convolutional recurrent network in pytorch
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite