goji_berries

21 ms·

1.
How Will We Adapt as Red States Reduce Their Supply of New Housing?(matthewekahn.substack.com)
4 points by goji_berries 1y ago|0 comments
2.
Of Markets and Marriages: Review of Recent Work on the Causes of US Poverty(aeaweb.org)
4 points by goji_berries 1y ago|0 comments
3.
On-Writing – Writing Tips, Tricks, and Tools(github.com)
2 points by goji_berries 1y ago|0 comments
4.
Ethnicolr2 – Ethnicolr implementation with new models in PyTorch(github.com)
3 points by goji_berries 1y ago|0 comments
5.
Toss-up – Data and writeups from an analysis of winning the toss in cricket(github.com)
1 points by goji_berries 1y ago|2 comments
6.
by goji_berries 1y ago
Now, imagine I use GenAI to flood the Internet with 100,000 pages praising Mr. Fox. These aren't crude spam pages—they're well-written articles with proper grammar, coherent arguments, and seemingly legitimate citations. Each page
7.
Pastations: Is It Time to Move Beyond Presentations?(gojiberries.io)
2 points by goji_berries 1y ago|0 comments
8.
Calibre: Advanced Calibration Models(github.com)
2 points by goji_berries 1y ago|0 comments
9.
Market Failure When the Cost of Misclassification Is Higher for the Customer(gojiberries.io)
2 points by goji_berries 1y ago|1 comments
10.
by goji_berries 1y ago
This leads to systematic under-investment in accuracy since decision-makers optimize for visible costs (bad hires, defaults) while externalizing invisible ones (missed talent, foregone profits).
11.
Notary: PyPI Digital Attestation Shield Generation Service(github.com)
3 points by goji_berries 1y ago|1 comments
12.
by goji_berries 1y ago
Uses Sigstore/PyPI integrity API
13.
When Cost of Misclassification Is Higher for the Customer Than for the Business(gojiberries.io)
3 points by goji_berries 1y ago|1 comments
14.
by goji_berries 1y ago
Consider a bank making decisions about loans. For the bank, making lending decisions optimally means reducing prediction errors*(cost of errors) minus the cost of making predictions (Keeping things simple here). The cost of any one particul
15.
Ethnicolr_v2 – Replication materials and ms for name to race models(github.com)
1 points by goji_berries 1y ago|0 comments
16.
Clean-names – Deduplicate and parse list of `dirty names'(github.com)
2 points by goji_berries 1y ago|0 comments
17.
Not Recommended: Why Current Content Recommendation Systems Fail Us(gojiberries.io)
2 points by goji_berries 1y ago|1 comments
18.
by goji_berries 1y ago
Let's build better products.
19.
Parse_searchable_rolls – Parse Searchable Electoral Rolls(github.com)
1 points by goji_berries 1y ago|0 comments
20.
A single page on DoorDash can make upward of 1000 gRPC calls(gojiberries.io)
4 points by goji_berries 1y ago|0 comments
21.
by goji_berries 1y ago
here's my take on this issue: https://www.gojiberries.io/building-together-separately-chal...
22.
Parse_searchable_rolls – Parse Searchable Electoral Rolls(github.com)
1 points by goji_berries 1y ago|0 comments
23.
Extract Useful Information from Tables for LLMs(github.com)
2 points by goji_berries 1y ago|0 comments
24.
Cell Mates: Extracting Useful Information from Tables for LLMs(gojiberries.io)
33 points by goji_berries 1y ago|1 comments
25.
Add Related Repositories on GitHub(github.com)
1 points by goji_berries 1y ago|0 comments
26.
Adjacent: Add Related Repositories to Readme on GitHub(github.com)
1 points by goji_berries 1y ago|0 comments
27.
by goji_berries 1y ago
I plan to expand it to support most of R functionality with the focus on its conventional use case, which is statistical analysis
28.
Rmcp – R MCP Server(github.com)
4 points by goji_berries 1y ago|2 comments
29.
Dime_race – Using ethnicolr to predict DIME(github.com)
2 points by goji_berries 1y ago|0 comments
30.
Clean-names – Deduplicate and parse list of `dirty names'(github.com)
3 points by goji_berries 1y ago|0 comments

More ›