| composewell/streamly |
839 |
|
5 |
0 |
about 2 years ago |
26 |
November 29, 2023 |
433 |
other |
Haskell |
| High performance, concurrent functional programming abstractions |
| fpagliughi/sockpp |
679 |
|
0 |
0 |
over 2 years ago |
0 |
|
18 |
bsd-3-clause |
C++ |
| Modern C++ socket library. |
| moshest/p2p-index |
510 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
gpl-3.0 |
|
| 👯♂️ A collection of peer-to-peer decentralized projects. |
| CT83/SmoothStream |
164 |
|
0 |
0 |
over 3 years ago |
1 |
August 22, 2018 |
5 |
gpl-3.0 |
Python |
| Webcam, PiCamera streaming over the network with Python made easy. |
| DIAGNijmegen/StreamingCNN |
92 |
|
0 |
0 |
about 3 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| To train deep convolutional neural networks, the input data and the activations need to be kept in memory. Given the limited memory available in current GPUs, this limits the maximum dimensions of the input data. Here we demonstrate a method to train convolutional neural networks while holding only parts of the image in memory. |
| shortstheory/APStreamline |
76 |
|
0 |
0 |
over 5 years ago |
0 |
|
4 |
gpl-3.0 |
C++ |
| Live Video Streaming Made Easy! |
| NeuralNine/vidstream |
76 |
|
0 |
0 |
almost 5 years ago |
0 |
|
7 |
mit |
Python |
| Streaming video data via networks |
| DIAGNijmegen/pathology-streaming-pipeline |
65 |
|
0 |
0 |
over 3 years ago |
0 |
|
4 |
apache-2.0 |
Python |
| Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%. |
| takahirox/ThreeNetwork |
48 |
|
0 |
0 |
almost 9 years ago |
0 |
|
1 |
mit |
JavaScript |
| Network sync library for Three.js |
| up9inc/basenine |
35 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
apache-2.0 |
Go |
| Schema-free, document-oriented streaming database that optimized for monitoring network traffic in real-time |
