Flops counter for convolutional networks in pytorch framework
PyTorch 官方中文教程包含 60 分钟快速入门教程,强化教程,计算机视觉,自然语言处理,生成对抗网络,强化学习。欢迎 Star,Fork!
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
#计算机科学#The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on deal...
翻译 - 医学检测工具包包含常用对象检测器的2D + 3D实现,例如Mask R-CNN,Retina Net,Retina U-Net,以及专注于处理医学图像的训练和推理框架。
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
✨ 首个CJK(中日韩)字体识别以及样式提取模型 YuzuMarker的字体识别模型与实现 / First-ever CJK (Chinese Japanese Korean) Font Recognition and Style Extractor, side project of YuzuMarker
#计算机科学#An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
#计算机科学#CNN | Keras/PyTorch | CAPTCHA recognition(卷积神经网络、Keras/PyTorch框架、验证码识别)
#计算机科学#Training and evaluating state-of-the-art deep learning CNN architectures for plant disease classification task.
#计算机科学#Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your t...
翻译 - 使用trixi管理您的机器学习实验-模块化,可重现,高级时尚。针对PyTorch优化的实验基础架构,但足够灵活,可以根据您的框架和口味进行工作。
A Complete and Simple Implementation of MobileNet-V2 in PyTorch
PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification)
#计算机科学#Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247
#计算机科学#PyTorch tutorial for learners
#计算机科学#Metrics for model evaluation in pytorch
#计算机科学#Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2021)
Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.
#计算机科学#[EXPERIMENTAL] Demo of using PyTorch 1.0 inside an Android app. Test with your own deep neural network such as ResNet18/SqueezeNet/MobileNet v2 and a phone camera.
CNN-based model to realize aspect extraction of restaurant reviews based on pre-trained word embeddings and part-of-speech tagging