| iOS-Strikers/OCBarrage |
567 |
|
0 |
0 |
over 7 years ago |
0 |
|
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! |
| cs231n/gcloud |
360 |
|
0 |
0 |
about 5 years ago |
0 |
|
1 |
|
Python |
| Google Cloud tutorial and setup |
| binga/cloud-gpus |
348 |
|
0 |
0 |
over 5 years ago |
0 |
|
4 |
|
|
| This repository contains information about Cloud GPU offerings for Machine Learning practitioners. |
| w1531724247/OCBarrage |
263 |
|
0 |
0 |
almost 7 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! |
| xbresson/CE7454_2019 |
170 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Deep learning course CE7454, 2019 |
| hse-aml/bayesian-methods-for-ml |
99 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Materials for "Bayesian Methods for Machine Learning" Coursera MOOC |
| GiggleLiu/marburg |
70 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| physics meets neural networks |
| rstudio/cloudml |
63 |
|
0 |
0 |
over 5 years ago |
0 |
|
18 |
|
R |
| R interface to Google Cloud Machine Learning Engine |
| GoogleCloudPlatform/ml-testing-accelerators |
58 |
|
0 |
0 |
about 2 years ago |
0 |
|
35 |
apache-2.0 |
Jsonnet |
| Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU) |
| jkeefe/aistudio-workshops |
46 |
|
0 |
0 |
over 5 years ago |
0 |
|
7 |
mit |
Jupyter Notebook |
| Workshops created by the Quartz AI Studio |
