Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Ocbarrage | 567 | 6 years ago | 4 | mit | Objective-C | |||||
iOS 弹幕库 OCBarrage, 同时渲染5000条弹幕也不卡, 轻量, 可拓展, 高度自定义动画, 超高性能, 简单易上手; A barrage render-engine with high performance for iOS. At the same time, rendering 5000 barrages is also very smooth, lightweight, scalable, highly custom animation, ultra high performance, simple and easy to use! | ||||||||||
Gcloud | 360 | 3 years ago | 1 | Python | ||||||
Google Cloud tutorial and setup | ||||||||||
Cloud Gpus | 348 | 3 years ago | 4 | |||||||
This repository contains information about Cloud GPU offerings for Machine Learning practitioners. | ||||||||||
Ocbarrage | 263 | 5 years ago | 14 | October 22, 2018 | 4 | mit | Objective-C | |||
iOS 弹幕库 OCBarrage, 同时渲染5000条弹幕也不卡, 轻量, 可拓展, 高度自定义动画, 超高性能, 简单易上手; A barrage render-engine with high performance for iOS. At the same time, rendering 5000 barrages is also very smooth, lightweight, scalable, highly custom animation, ultra high performance, simple and easy to use! | ||||||||||
Ce7454_2019 | 170 | 4 years ago | mit | Jupyter Notebook | ||||||
Deep learning course CE7454, 2019 | ||||||||||
Bayesian Methods For Ml | 99 | 4 years ago | Jupyter Notebook | |||||||
Materials for "Bayesian Methods for Machine Learning" Coursera MOOC | ||||||||||
Marburg | 70 | 5 years ago | mit | Jupyter Notebook | ||||||
physics meets neural networks | ||||||||||
Cloudml | 63 | 4 years ago | 18 | R | ||||||
R interface to Google Cloud Machine Learning Engine | ||||||||||
Ml Testing Accelerators | 58 | 3 months ago | 35 | apache-2.0 | Jsonnet | |||||
Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU) | ||||||||||
Aistudio Workshops | 46 | 3 years ago | 7 | mit | Jupyter Notebook | |||||
Workshops created by the Quartz AI Studio |