zealousfool

corefx

This repo contains the .NET Core foundational libraries, called CoreFX. It includes classes for collections, file systems, console, XML, async and many others. We welcome contributions.

CVPR2021-Papers-with-Code

CVPR 2021 论文和开源项目合集

GAparaseeking

use GA to seek parameters of neural network

image-style-transfor

照片风格转换 项目主要参考Anish Athalye的Github项目 该项目是基于TensorFlow进行的视频图像转化，参考neural style这篇文章。

MyBookshelf

阅读是一款可以自定义来源阅读网络内容的工具，为广大网络文学爱好者提供一种方便、快捷舒适的试读体验。

Neural-Algorithm-

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

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

zeroinDL

用python写写各种神经网络的代码，加深一下理解

zealousfool/MyBookshelf

阅读是一款可以自定义来源阅读网络内容的工具，为广大网络文学爱好者提供一种方便、快捷舒适的试读体验。

zealousfool/zeroinDL

用python写写各种神经网络的代码，加深一下理解

zealousfool/corefx

This repo contains the .NET Core foundational libraries, called CoreFX. It includes classes for collections, file systems, console, XML, async and many others. We welcome contributions.

zealousfool/CVPR2021-Papers-with-Code

CVPR 2021 论文和开源项目合集

zealousfool/GAparaseeking

use GA to seek parameters of neural network

zealousfool/image-style-transfor

照片风格转换 项目主要参考Anish Athalye的Github项目 该项目是基于TensorFlow进行的视频图像转化，参考neural style这篇文章。

zealousfool/Neural-Algorithm-

zealousfool/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

zealousfool/PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

zealousfool/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

zealousfool/tensorflow

Computation using data flow graphs for scalable machine learning

zealousfool/PyTorch-StudioGAN

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

zealousfool/segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

zealousfool/Simulated-mental-imagery

for paper "Simulated mental imagery for robotic task planning"

zealousfool/style-augmentation

PyTorch implementation of neural style randomization for data augmentation

zealousfool/stylegan2-pytorch

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement