Glances
htop
Zapier
GNOME System Monitor
Boomi
Windows Task Manager
MacUncle
ChartsWatcher
CUDA
TensorFlow
PyTorch
Keras
Scikit-learn
MLKit
Neuton.AI
Open Text Magellan
The single customer view you have always wanted is here. Glances unifies your apps in a simplified, easy-to-use customer view that provides real-time data from within any app that you are using. In minutes, securely connect your apps and eliminate tab switching, searching, and clicking around to find important information.
Do the hustle without the hassle
Finding customer information within multiple programs is the hassle that ruins your workflow hustle. Glances brings your favorite online apps together, securely showing your customer data in a single view from whatever app you are using.
An integration the way it should be
It’s like iPaaS, but without the pain. Not time consuming, expensive, or untrustworthy. Glances is a new way to do integrations with a true no-code approach; no data syncing or scheduling jobs. See how it takes just minutes to connect your apps and start using a simplified customer view with Glances.
Glances is designed to support any application that provides an industry standard API, including custom applications. Here is a sample of some of the supported applications:
Glances CUDANo features have been listed yet.
Based on our record, CUDA seems to be more popular. It has been mentiond 36 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For my fellow Windows shills, here's how you actually build it on windows: Before steps: 1. (For Nvidia GPU users) Install cuda toolkit https://developer.nvidia.com/cuda-downloads 2. Download the model somewhere: https://huggingface.co/TheBloke/Llama-2-13B-chat-GGML/resolve/main/llama-2-13b-chat.ggmlv3.q4_0.bin In Windows Terminal with Powershell:- Source: Hacker News / 10 months agogit clone https://github.com/ggerganov/llama.cpp.
I use Ubuntu and configuring nvidia drivers is very easy installing from here https://developer.nvidia.com/cuda-downloads. Source: 10 months ago
You have posted almost no information about your Hardware and what exactly you have done. Do you actually have NVIDIA? Have you actually installed CUDA? Also when exactly do you get the error, while installed the python package or later? Source: 10 months ago
EDIT: LINK TO CUDA-toolkit: https://developer.nvidia.com/cuda-downloads. Source: 11 months ago
It's worth noting that you'll need a recent release of llama.cpp to run GGML models with GPU acceleration here is the latest build for CUDA 12.1), and you'll need to install a recent CUDA version if you haven't already (here is the CUDA 12.1 toolkit installer -- mind, it's over 3 GB). Source: 12 months ago
htop - htop - an interactive process viewer for Unix. This is htop, an interactive process viewer for Unix systems. It is a text-mode application (for console or X terminals) and requires ncurses. Latest release: htop 2.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
GNOME System Monitor - System Monitor is a tool to manage running processes and monitor system resources.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
