Network Video Recorder
Implement and use Intel® hardware platforms for video decoding, encoding, and optimization using various media stacks.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Qualityscaler | 1,519 | 4 months ago | 22 | mit | Python | |||||
| QualityScaler - image/video AI upscaler app | ||||||||||
| Ngraph | 1,310 |  | 1 | 4 years ago | 9 | November 09, 2019 | apache-2.0 | C++ | ||
| nGraph - open source C++ library, compiler and runtime for Deep Learning | ||||||||||
| Intel Extension For Pytorch | 1,161 |  | 12 | 4 months ago | 13 | October 19, 2023 | 180 | apache-2.0 | Python | |
| A Python package for extending the official PyTorch that can easily obtain performance on Intel platform | ||||||||||
| Pipecnn | 916 | 2 years ago | 35 | apache-2.0 | C | |||||
| An OpenCL-based FPGA Accelerator for Convolutional Neural Networks | ||||||||||
| Caffe | 839 | 2 years ago | 76 | other | C++ | |||||
| This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors. | ||||||||||
| Models | 635 | 4 months ago | 47 | apache-2.0 | Python | |||||
| Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Center GPUs | ||||||||||
| Cldnn | 574 | a year ago | 27 | C++ | ||||||
| Compute Library for Deep Neural Networks (clDNN) | ||||||||||
| Cubert | 349 | 3 years ago | 5 | mit | C++ | |||||
| Fast implementation of BERT inference directly on NVIDIA (CUDA, CUBLAS) and Intel MKL | ||||||||||
| Crazyara | 217 | 4 months ago | 16 | gpl-3.0 | Jupyter Notebook | |||||
| A Deep Learning UCI-Chess Variant Engine written in C++ & Python :parrot: | ||||||||||
| He Transformer | 217 | a year ago | 5 | apache-2.0 | C++ | |||||
| nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph | ||||||||||
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