Deep learning models are everywhere without us even realizing it. The number of AI use cases have been increasing exponentially with the rapid development of new algorithms, cheaper compute, and greater access to data. Almost every industry has deep learning applications, from he...
An open-source platform for automating tasks using machine learning models pythonjavadata-sciencetaskmachine-learningautomationrdeep-learningmodel-zootasksartificial-intelligenceneural-networkskeras-modelstensorflow-modelspytorch-models UpdatedMar 3, 2020 ...
[2] ZeRO: Memory Optimizations Toward Training Trillion Parameter Models [3] DeepSpeed: Extreme-scale model training for everyone - Microsoft Research [4] Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism [5] Introducing GPipe, an Open Source Library for Efficiently...
Recently, in partnership with Facebook, Amazon Web Services (Amazon AWS) developed TorchServe, a flexible and easy-to-use, open source tool for serving PyTorch models. TorchServe removes the heavy lifting of deploying and serving PyTorch models with Kubernetes, and AW...
If you are using the work (e.g. pre-trained models) in UER-py for academic work, please cite thesystem paperpublished in EMNLP 2019: @article{zhao2019uer, title={UER: An Open-Source Toolkit for Pre-training Models}, author={Zhao, Zhe and Chen, Hui and Zhang, Jinbin and Zhao, Xin...
质量分析 Jenkins for Gitee 腾讯云托管 腾讯云 Serverless 悬镜安全 阿里云 SAE Codeblitz 我知道了,不再自动展开 加入Gitee 与超过 1200万 开发者一起发现、参与优秀开源项目,私有仓库也完全免费 :) 免费加入 已有帐号?立即登录 此仓库是为了提升国内下载速度的镜像仓库,每日同步一次。 原始仓库:https://github.com...
PyTorchis an open-source machine learning (ML) library widely used to develop neural networks and ML models. Those models are usually trained on multiple GPU instances to speed up training, resulting in expensive training time and model sizes up to a few gigabytes. After they’re traine...
model = torchvision.models.resnet18(pretrained=True) model.eval() def run_inference(in_tensor): with torch.no_grad(): out_tensor = model(in_tensor.permute(2,0,1).unsqueeze(0)) prob,clas = torch.softmax(out_tensor,dim=1).max(dim=1) ...
语言图像数据是深度学习技术的一种非常流行的用法。在本文中将讨论使用深度卷积神经网络识别花卉图像。 为此将使用Python的PyTorch,TorchVision和PIL库 数据探索 可以在Kaggle找到此问题所需的数据集。它包含文件夹结构和花卉图像。有5种不同类型的花。文件夹结构如下所示 ...
The memory usage in PyTorch is extremely efficient compared to Torch or some of the alternatives. We've written custom memory allocators for the GPU to make sure that your deep learning models are maximally memory efficient. This enables you to train bigger deep learning models than before. ...