Latex code for making neural networks diagrams

PyTorch implementations of Generative Adversarial Networks.

🐍 Geometric Computer Vision Library for Spatial AI

For macOS.百度网盘 破解SVIP、下载速度限制~

Pytorch implementation of convolutional neural network visualization techniques

A collection of infrastructure and tools for research in neural network interpretability.

System for AI Education Resource.

A collection of loss functions for medical image segmentation

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and rela…

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

Toward Multimodal Image-to-Image Translation

Visual Attention based OCR

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

这是一个用StyleGAN训练出的网红脸生成器

[CVPR 2019]: Pluralistic Image Completion

Kepler Mapper: A flexible Python implementation of the Mapper algorithm.

[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation

Pytorch implementation of LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS (BigGAN)

Focal loss for Dense Object Detection

A TensorBoard plugin for visualizing arbitrary tensors in a video as your network trains.

This repository provides PyTorch implementation for 3DV 2018 paper "MVDepthNet: real-time multiview depth estimation neural network"

📈 TensorFlow + Matplotlib as TF ops

Chrome extension that enables code folding in GitHub

Minimalist code necessary for using porting C++ functions/classes using OpenCV's "Mat" type in functions argument lists directly (w/o explicit conversions) to python.

TensorFlow implementation of the Xception Model by François Chollet

Deformable convolution net on Tensorflow

Opensource Python project for cancer radiation treatment planning [AAPM'23]