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tibblify4 months ago
Introduction | Example | Objects | Specification | Scalar Elements | Vector Elements | Object Elements | Required and Optional Fields | Converting a Single Object
nectar5 months ago
Preparing a request with req_prepare() | Authentication with auth_api_key() | Response tidying with resp_tidy_json_tibblify() | Pagination with iterate_with_json_cursor() | Performing the request with req_perform_opinionated() | Parsing the response with resp_parse() | Putting it all together | Building an API package with nectar
nectar5 months ago
Preparing a request with req_prepare() | Authentication with auth_api_key() | Response tidying with resp_tidy_json_tibblify() | Pagination with iterate_with_json_cursor() | Performing the request with req_perform_opinionated() | Parsing the response with resp_parse() | Putting it all together | Building an API package with nectar
Curating a Dataset7 months ago
Set up your GitHub account | Open these instructions as a step-by-step script | Wrangle | Save & document | Introduce | Find images | Provide metadata | Submit
Getting started with stbl7 months ago
The register_user() Function | Step 1: Handling a Vector with to_*() | Step 2: Simple Scalar Coercion with to_*_scalar() | Step 3: Complex Validation with stabilize_*() | Conclusion
Getting started with stbl7 months ago
The register_user() Function | Step 1: Handling a Vector with to_*() | Step 2: Simple Scalar Coercion with to_*_scalar() | Step 3: Complex Validation with stabilize_*() | Conclusion
Overview of supported structures9 months ago
Scalars | Vectors | Empty lists | Homogeneous R lists of scalars | Homogeneous JSON objects of scalars | Varying | Object | Data Frames | Object of objects | Column-major format
Changing scenes4 years ago
Why? | A toy example | The UIs | Scenes and actions | Scene changes
Changing scenes4 years ago
Why? | A toy example | The UIs | Scenes and actions | Scene changes
Creating new actions4 years ago
Check function | Methods | Construct action
Creating new actions4 years ago
Check function | Methods | Construct action
Add a Slack Login to a shiny app4 years ago
Finding your team_id
Textual Entailment4 years ago
The MNLI Dataset | Model | Results
Triplet Loss4 years ago
Get the data | Define the model | Prepare the data for torch | Fit the model | Using the model
Generating a Vocabulary and Lookup5 years ago
Check coverage | Other measures of coverage quality
Using wordpiece5 years ago
Provided Vocabularies | Loading a Vocabulary | Tokenizing Text | Vocabulary Case | Representing "Unknown" Tokens
Testing the fall-through algorithm5 years ago
Integrating into Your Package5 years ago
read_or_cache | maybe_cache | app_cache_dir | set_app_cache_dir
Integrating into Your Package5 years ago
read_or_cache | maybe_cache | app_cache_dir | set_app_cache_dir
Building a Factory6 years ago
Examples6 years ago
10.2.6 Exercises | Scales | binwidth | Bootstrap generator | Maximum likelihood estimation