Pinned Repositories
--ACM--
ばくぜんの-ACM-テンプレート
ACM
ACM模板和一些题目的代码实现
code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
CreationEngine
C++ OpenGL 模仿我的世界,内容相对完善,随机地图,支持双人联机,代码注释多
face-nn
游戏捏脸,基于神经风格迁移框架生成逼真人脸
Game-Programming-Patterns-CN
《游戏编程模式》中文版
keras-vis
Neural network visualization toolkit for keras
Neural_Network_Visualization_Unity
a simple demo for neural network visualization by unity
ProxyOpt
Unofficial implement of denoising SIDD dataset reference the article Hyperparameter Optimization in Black-box Image Processing using Differentiable Proxies
tinyrenderer
A brief computer graphics / rendering course
Apathetically's Repositories
Apathetically/ProxyOpt
Unofficial implement of denoising SIDD dataset reference the article Hyperparameter Optimization in Black-box Image Processing using Differentiable Proxies
Apathetically/Neural_Network_Visualization_Unity
a simple demo for neural network visualization by unity
Apathetically/tinyrenderer
A brief computer graphics / rendering course
Apathetically/--ACM--
ばくぜんの-ACM-テンプレート
Apathetically/ACM
ACM模板和一些题目的代码实现
Apathetically/code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
Apathetically/CreationEngine
C++ OpenGL 模仿我的世界,内容相对完善,随机地图,支持双人联机,代码注释多
Apathetically/face-nn
游戏捏脸,基于神经风格迁移框架生成逼真人脸
Apathetically/Game-Programming-Patterns-CN
《游戏编程模式》中文版
Apathetically/keras-vis
Neural network visualization toolkit for keras
Apathetically/ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
Apathetically/pytorch-animeGAN
Pytorch implementation of AnimeGAN for fast photo animation
Apathetically/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
Apathetically/renderer
A shader-based software renderer written from scratch in C89
Apathetically/Training-Targets-for-Speech-Separation-Neural-Networks
This is a project on working/resolving the speech separation problem using supervised learning on various training targets, building machine learning model using feed forward neural networks. Implementing metrics like STOI and PESQ for speech quality and interpretability metrics.
Apathetically/Unity_Shaders_Book
:book: 书籍《Unity Shader入门精要》源代码