| dusty-nv/jetson-inference |
7,038 |
|
0 |
0 |
over 2 years ago |
0 |
|
285 |
mit |
C++ |
| Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson. |
| NVIDIA/DALI |
4,770 |
|
0 |
4 |
about 2 years ago |
19 |
December 06, 2023 |
209 |
apache-2.0 |
C++ |
| A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications. |
| rapidsai/cuml |
3,781 |
|
0 |
0 |
about 2 years ago |
0 |
|
845 |
apache-2.0 |
C++ |
| cuML - RAPIDS Machine Learning Library |
| pytorch/TensorRT |
2,231 |
|
0 |
7 |
about 2 years ago |
7 |
December 01, 2022 |
148 |
bsd-3-clause |
Python |
| PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT |
| CVCUDA/CV-CUDA |
2,010 |
|
0 |
0 |
over 2 years ago |
2 |
September 07, 2023 |
49 |
apache-2.0 |
C++ |
| CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision. |
| basicmi/AI-Chip |
1,509 |
|
0 |
0 |
over 2 years ago |
0 |
|
25 |
|
PHP |
| A list of ICs and IPs for AI, Machine Learning and Deep Learning. |
| dusty-nv/jetson-containers |
1,388 |
|
0 |
0 |
about 2 years ago |
0 |
|
196 |
mit |
Python |
| Machine Learning Containers for NVIDIA Jetson and JetPack-L4T |
| nod-ai/SHARK |
1,292 |
|
0 |
0 |
about 2 years ago |
0 |
|
388 |
apache-2.0 |
Python |
| SHARK - High Performance Machine Learning Distribution |
| NVIDIA-Merlin/NVTabular |
979 |
|
0 |
0 |
over 2 years ago |
34 |
August 29, 2023 |
194 |
apache-2.0 |
Python |
| NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems. |
| BMW-InnovationLab/BMW-TensorFlow-Training-GUI |
954 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy. |
