tensorflow_macos
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework. (by apple)
hub-feedback
Feedback and bug reports for the Docker Hub (by docker)
| tensorflow_macos | hub-feedback | |
|---|---|---|
| 33 | 379 | |
| 2,887 | 231 | |
| - | 0.0% | |
| 3.4 | 0.0 | |
| almost 3 years ago | almost 2 years ago | |
| Shell | ||
| GNU General Public License v3.0 or later | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tensorflow_macos
Posts with mentions or reviews of tensorflow_macos.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-17.
-
Updated Apple Silicon Guide for M2 Pro and M2 Max Chips
https://github.com/apple/tensorflow_macos is no longer needed
-
The hunt for the M1’s neural engine
Tensorflow has a CoreML enabled version which run on ANE.
https://github.com/apple/tensorflow_macos
-
M1 Mac users
Apple released a guide on how to use the M1's integrated Neural Chip in TensorFlow. Have a look at this Apple documentation page (and maybe also this GitHub that talks about TensorFlow together with Apple's own ML Compute platform).
-
MacBook Air or Wait for new potential MacBook Air with M2
Tensorflow does work on Apple Silicon
- Kernels dying when using tensorflow in Jupyter Notebooks.
-
Main PyTorch maintainer confirms that work is being done to support Apple Silicon GPU acceleration for the popular machine learning framework.
Apple did some work to optimize tensorflow for M1, can be found here https://github.com/apple/tensorflow_macos It's alpha, but works fine, I tried it
-
The M1 Max is the fastest GPU we have ever measured in Affinity Photo benchmark
https://github.com/apple/tensorflow_macos/issues/25
https://forums.macrumors.com/threads/apple-silicon-deep-lear...
It is expected that the M1 Max should have similar performance to a RTX-2080 or Titan X.
-
MacBook Pro M1 Pro benchmark
In case anyone is interested, in ran a fairly simple MNIST benchmark (proposed here : https://github.com/apple/tensorflow_macos/issues/25) on my recently acquired M1 Pro MBP (16-core GPU, 16GB RAM).
-
Error while installing tensorflow on Mac M1
The only method I know of to download tensorflow on M1 macs is the one documented here: https://github.com/apple/tensorflow_macos
- How exactly does the Neural Engine benefit the consumer?
hub-feedback
Posts with mentions or reviews of hub-feedback.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-21.
-
Docker compose, orchestrating and automating services
image: this key specifies the image this container is based on to be created. It can be a local image or an image from the Docker hub.
-
Dockerizing Next.js
Finally, we can upload our application to Docker Hub so that other people can use the image we created. To do this, follow the steps below:
-
How to run PostgreSQL and pgAdmin on Docker?
Pull the official Docker distribution of pgAdmin 4 from the Docker Hub repository with the following command:
-
Securely Containerize a Python Application with Chainguard Images
To use Docker Scout, you'll first have to have a Docker Hub account. Follow the installation instructions for Docker Scout on GitHub. Once Docker Scout is installed, you can sign in to Docker Hub on the command line with the docker login command.
-
Building Scalable GraphQL Microservices With Node.js and Docker: A Comprehensive Guide
Go to Docker Hub, sign up, and log in to your account's overview page.
-
Welcome to world of Containerization
Login to Docker [Create an account with https://hub.docker.com/]
-
Next.js with Public Environment Variables in Docker
Docker Hub
-
Leveraging GitHub Actions, Docker, Code Quality, and Slack Integration
Dockerhub account
- (Docker) Criando um ambiente LAMP utilizando Docker-Compose
-
A Gentle Introduction to Containerization and Docker
There are a lot of docker-compatible registries almost every cloud provider has its registry but for this article, we will use the docker registry called docker hub. Go to the website create a new account and sign in then you can push or pull images.
What are some alternatives?
When comparing tensorflow_macos and hub-feedback you can also consider the following projects:
miniforge - A conda-forge distribution.
rook - Storage Orchestration for Kubernetes
Pointnet_Pointnet2_pytorch - PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
kubernetes - Production-Grade Container Scheduling and Management
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
chartmuseum - helm chart repository server
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
Harbor - An open source trusted cloud native registry project that stores, signs, and scans content.
flamegraph - Easy flamegraphs for Rust projects and everything else, without Perl or pipes <3
Docker Compose - Define and run multi-container applications with Docker
Python-docker - Docker Official Image packaging for Python
Portainer - Making Docker and Kubernetes management easy.
tensorflow_macos vs miniforge
hub-feedback vs rook
tensorflow_macos vs Pointnet_Pointnet2_pytorch
hub-feedback vs kubernetes
tensorflow_macos vs tinygrad
hub-feedback vs chartmuseum
tensorflow_macos vs ROCm
hub-feedback vs Harbor
tensorflow_macos vs flamegraph
hub-feedback vs Docker Compose
tensorflow_macos vs Python-docker
hub-feedback vs Portainer