Awesome Open Source

Programming Languages

Search results for deep learning nvidia gpu

deep-learning x

12 search results found

Modulus ⭐ 478

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

GPU environment management and cluster orchestration

Deepstream Services Library ⭐ 234

A shared library of on-demand DeepStream Pipeline Services for Python and C/C++

Modulus Sym ⭐ 86

Framework providing pythonic APIs, algorithms and utilities to be used with Modulus core to physics inform model training as well as higher level abstraction for domain experts

PyProf2: PyTorch Profiling tool

Gputasker ⭐ 38

An awesome gpu tasks scheduler. 轻量好用的GPU机群任务调度工具。觉得有用可以点个star

Ubuntu Deep Learning Environment Setup ⭐ 31

Guide to installing Tensorflow with NVIDIA GPU and Deep learning enviroment - Nvidia Drivers/cuda/cuDNN/tensorflow-gpu/中文文档

Deeprl Robotic ⭐ 9

Deep Reinforcement Learning applied to robotic arm

Sordi Data Pipeline Reader ⭐ 7

SORDI dataset has per frame annotation file in json format. Following tools create a COCO style annotation out of it. Thus the SORDI data can be easily fed into COCO style training pipelines.

Docker Gpu ⭐ 6

Dockerfile for deep learning on GPUs

Real Time Object Detection Using Opencv And Deep Learning ⭐ 6

Real Time Object Detection using OpenCV and Deep Learning

Gpu Development Environment Setting ⭐ 5

For Ubuntu16.04

Cuda Pytorch Docker ⭐ 5

Nvidia CUDA for GPU + PyTorch (latest) in Docker

Related Searches

Python Deep Learning (17,877)

Jupyter Notebook Deep Learning (10,328)

Deep Learning Neural Network (5,801)

Deep Learning Tensorflow (5,389)

Deep Learning Pytorch (5,376)

Deep Learning Convolutional Neural Networks (4,142)

Deep Learning Neural (3,734)

Deep Learning Computer Vision (3,585)

Network Deep Learning (3,532)

Deep Learning Keras (3,063)

1-12 of 12 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.