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Facebook 66 app. Device detection for developers: The most comprehensive detection solution anywhere, with tens of thousands of devices, and millions of device combinations.
Latest versionReleased:
AI Toolkit for Healthcare Imaging
Project description
Medical Open Network for AI
MONAI is a PyTorch-based, open-source framework for deep learning in healthcare imaging, part of PyTorch Ecosystem.Its ambitions are:
- developing a community of academic, industrial and clinical researchers collaborating on a common foundation;
- creating state-of-the-art, end-to-end training workflows for healthcare imaging;
- providing researchers with the optimized and standardized way to create and evaluate deep learning models.
Current For Facebook 1 0 2019
Features
The codebase is currently under active development.Please see the technical highlights of the current milestone release.
- flexible pre-processing for multi-dimensional medical imaging data;
- compositional & portable APIs for ease of integration in existing workflows;
- domain-specific implementations for networks, losses, evaluation metrics and more;
- customizable design for varying user expertise;
- multi-GPU data parallelism support.
Installation
To install the current release:
To install from the source code repository:
Alternatively, pre-built Docker image is available via DockerHub:
For more details, please refer to the installation guide.
Getting Started
MedNIST demo and MONAI for PyTorch Users are available on Colab.
Examples and notebook tutorials are located at Project-MONAI/tutorials.
Path finder 8 3 4. Technical documentation is available at docs.monai.io. Textexpander 5 0 download free.
Contributing
For guidance on making a contribution to MONAI, see the contributing guidelines.
Community
Join the conversation on Twitter @ProjectMONAI or join our Slack channel.
Ask and answer questions over on the PyTorch Forums or StackOverflow. Make sure to tag @monai.
Links
- Website: https://monai.io/
- API documentation: https://docs.monai.io
- Code: https://github.com/Project-MONAI/MONAI
- Project tracker: https://github.com/Project-MONAI/MONAI/projects
- Issue tracker: https://github.com/Project-MONAI/MONAI/issues
- Wiki: https://github.com/Project-MONAI/MONAI/wiki
- Test status: https://github.com/Project-MONAI/MONAI/actions
Release historyRelease notifications | RSS feed
0.3.0
0.3.0rc4 pre-release
0.3.0rc3 pre-release
0.3.0rc2 pre-release
0.3.0rc1 pre-release
0.2.0
0.2.0rc3 pre-release
0.2.0rc2 pre-release
0.2.0rc1 pre-release
0.1.0
Adobe audition 2020 13 0 2. 0.1.0rc2 pre-release
0.0.1
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Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size monai-0.3.0-202010042353-py3-none-any.whl (298.4 kB) | File type Wheel | Python version py3 | Upload date | Hashes |
0.3.0rc2 pre-release
0.3.0rc1 pre-release
0.2.0
0.2.0rc3 pre-release
0.2.0rc2 pre-release
0.2.0rc1 pre-release
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Adobe audition 2020 13 0 2. 0.1.0rc2 pre-release
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Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size monai-0.3.0-202010042353-py3-none-any.whl (298.4 kB) | File type Wheel | Python version py3 | Upload date | Hashes |
Current For Facebook 1 0 25
Hashes for monai-0.3.0-202010042353-py3-none-any.whl
Current For Facebook 1 0 20
| Algorithm | Hash digest |
|---|---|
| SHA256 | a1a5333f53201574de61b1a3479070b88ec5753cad27e10d034abe96f9976864 |
| MD5 | 39f106a080fd097e438546e338441b3f |
| BLAKE2-256 | 874729473afdd2a90e54b8b11429f8d36b41a74d6d37371ebb50e4de74f42d10 |
Here's the latest version of the Facebook app. The version number is 2.7.1. I have no idea what's new in this version as Facebook isn't saying. I suspect it's just a bug fix release.
I'm can't say for sure which Boost phones (if any) it works on. On my Motorola Rambler and i776 test phones it installs and runs but the log in button doesn't work. The previous 2.3 and 2.5.1 versions didn't work on my phones either but BoostApps readers reported that it worked on the Incognito, Juno, Factor, Rant and Seek, so I'm hoping this one works on at least those phones.
Type: Freeware
Vendor: Facebook
Data Connection Required: Yes
Minimum Java ME profile: MIDP 2.0
Screen Size: All
Reported Working On: Nokia 114, Sanyo Incognito, Samsung GT-C3053, Sanyo Juno
Reported Not Working On: Itel it5100, LG A290, Motorola Rambler, Samsung GT-C3300K Champ, Samsung Gt-C3303k
.
Let us know in a comment if it works or not on your Boost phone
The app 'Facebook' (131 KB) is ready to download or send to your phone as filename: 'FB271'.
Downloading uses paid data. Downloads are for Java ME phones only.
To download and install click here: DOWNLOAD (jad)
