| BloodAxe/pytorch-toolbelt |
1,458 |
|
1 |
6 |
about 2 years ago |
27 |
June 27, 2022 |
2 |
mit |
Python |
| PyTorch extensions for fast R&D prototyping and Kaggle farming |
| Tencent/TurboTransformers |
1,322 |
|
0 |
0 |
almost 3 years ago |
0 |
|
50 |
other |
C++ |
| a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU. |
| thushv89/attention_keras |
429 |
|
0 |
0 |
about 3 years ago |
0 |
|
11 |
mit |
Python |
| Keras Layer implementation of Attention for Sequential models |
| facebookresearch/DeepFovea |
364 |
|
0 |
0 |
over 4 years ago |
0 |
|
1 |
other |
PureBasic |
| Neural Reconstruction for Foveated Rendering and Video Compression using Learned Statistics of Natural Videos |
| asmirnou/watsor |
236 |
|
0 |
0 |
over 2 years ago |
8 |
November 14, 2023 |
2 |
mit |
Python |
| Object detection for video surveillance |
| zhongkaifu/Seq2SeqSharp |
188 |
|
0 |
3 |
over 2 years ago |
1 |
May 09, 2022 |
6 |
other |
C# |
| Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on. |
| haotianteng/Chiron |
114 |
|
0 |
0 |
about 3 years ago |
24 |
January 09, 2020 |
7 |
other |
Python |
| A basecaller for Oxford Nanopore Technologies' sequencers |
| negge/jpeg_gpu |
101 |
|
0 |
0 |
about 9 years ago |
0 |
|
2 |
apache-2.0 |
C |
| GPU accelerated JPEG decoder |
| LeslieZhoa/tensorflow-deeplab_v3_plus |
54 |
|
0 |
0 |
over 7 years ago |
0 |
|
5 |
|
Python |
| 图像分割算法deeplab_v3+，基于tensorflow，中文注释，摄像头可用 |
| satinder147/Image_deionising_auto_encoder |
25 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Python |
| Noise removal from images using Convolutional autoencoder |
