savn | Learning to Learn how to Learn : Self-Adaptive Visual | Machine Learning library

by allenai Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | savn Summary

savn is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Generative adversarial networks applications. savn has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

By Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi and Roozbeh Mottaghi (Oral Presentation at CVPR 2019). CVPR 2019 Paper | Video | BibTex. There is a lot to learn about a task by actually attempting it! Learning is continuous, i.e. we learn as we perform. Traditional navigation approaches freeze the model during inference (top row in the intuition figure above). In this paper, we propose a self-addaptive agent for visual navigation that learns via self-supervised interaction with the environment (bottom row in the intuition figure above).

Support

Quality

Security

License

Reuse

Support

savn has a low active ecosystem.

It has 141 star(s) with 41 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 12 open issues and 10 have been closed. On average issues are closed in 12 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of savn is current.

Quality

savn has 0 bugs and 0 code smells.

Security

savn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

savn code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

savn is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

savn releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

savn saves you 1338 person hours of effort in developing the same functionality from scratch.

It has 3000 lines of code, 187 functions and 41 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed savn and discovered the below as its top functions. This is intended to give you an instant insight into savn implemented functionality, and help decide if they suit your requirements.

Wrapper function for train_val
Extract scenes from a scene string
Get scene data
Make a scene name
Train a single agent
Transfer gradient to shared model
Perform a non - adaptive objective function
Train a non - adaptive CV3C model
Transfer gradients to shared model
Main function
Add scalars
Pop the histogram from the histogram
Search all closed connections
Enqueue a new state into the queue
Compute the model output
Start a new episode
Resets the hidden state space
Evaluate the model at the given state
Visualize a plan
Evaluate the actor at the given state
Set the target object index
Return the optimizer class
Pops the histogram and reset the mean
Get an agent class by name
Return a model class by name
Transport to start

Get all kandi verified functions for this library.

savn Key Features

No Key Features are available at this moment for savn.

savn Examples and Code Snippets

No Code Snippets are available at this moment for savn.

Community Discussions

Trending Discussions on savn

Getting a broken image string when converting gallery photo to BASE64 with Base64.EncodeString [Android] [Java]

QUESTION

Getting a broken image string when converting gallery photo to BASE64 with Base64.EncodeString [Android] [Java]

Asked 2019-Apr-04 at 16:00

When converting a gallery photo from an activity with the Base64 Encoder, I get a faulty Base64 String. When using a site to test this, it's a broken image. My ExpressAPI gives me a validation error on the string aswell when trying to post this string.

I've already tried using different Bitmap variants like a Factory etc.

...

ANSWER

Answered 2019-Apr-04 at 10:30

Try this:

Source https://stackoverflow.com/questions/55513339

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install savn

Clone the repository with git clone https://github.com/allenai/savn.git && cd savn. Install the necessary packages. If you are using pip then simply run pip install -r requirements.txt. Download the pretrained models and data to the savn directory. Untar with.
Clone the repository with git clone https://github.com/allenai/savn.git && cd savn.
Install the necessary packages. If you are using pip then simply run pip install -r requirements.txt.
Download the pretrained models and data to the savn directory. Untar with
thor_offline_data which is organized into sub-folders, each of which corresponds to a scene in AI2-THOR. For each room we have scraped the ResNet features of all possible locations in addition to a metadata and NetworkX graph of possible navigations in the scene.
thor_glove which contains the GloVe embeddings for the navigation targets.
gcn which contains the necessary data for the Graph Convolutional Network (GCN) in Scene Priors, including the adjacency matrix.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: