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Integrating Semantic Wisdom with Predictive Models

active 2024-02-022025-04-03 (UTC)

Complete coverage26,779 / 26,779 hourly files (100%) · 2 absent upstream2023-08-152026-09-03 (UTC)
Events
215
Pushes
164
Pull requests
2
Issues
14
Stars
17
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 428 days from 2024-02-02 to 2025-07-20. Pushes: 164 total, peak 48 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 14 total, peak 6 in a day. Comments: 15 total, peak 4 in a day. Stars: 17 total, peak 2 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
furlat186157213
danielpatrickhug7700
pszemraj2002

Recent activity

Latest issues, pull requests and releases

  • Issue comment#7furlat2024-03-21 17:33
    make some tests and choose an openai api compatible local llm server
  • Issue comment#2furlat2024-03-16 00:06
    add a logger
  • Issue comment#4furlat2024-03-12 00:37
    Add llm and embeddings support for together api
  • Issue#15furlat2024-03-05 15:54
    add multi-task and multi-class support for classification
  • Issue comment#7furlat2024-03-01 20:02
    make some tests and choose an openai api compatible local llm server
  • Issue comment#14furlat2024-03-01 20:01
    Add a way to globally define the cache and output folders
  • Issue comment#6furlat2024-02-28 10:50
    add automatic batch job re-queue for failed pydantic validations in column generation with re-prompting following instructor
  • Issue comment#4pszemraj2024-02-27 18:41
    Add llm and embeddings support for together api
  • Issue comment#3pszemraj2024-02-27 17:19
    add support for local embeddings with hf transformers
  • Issue comment#4furlat2024-02-26 17:03
    Add llm and embeddings support for together api
  • Issue#14furlat2024-02-24 18:42
    Add a way to globally define the cache and output folders
  • Issue comment#13furlat2024-02-24 13:45
    Make all of cross-validation but the model training a lazy polars operation
  • Issue#13furlat2024-02-24 13:45
    Make all of cross-validation but the model training a lazy polars operation
  • Issue comment#2furlat2024-02-24 13:29
    add a logger
  • Issue#12furlat2024-02-24 13:26
    Start working on distributed framework
  • Issue comment#1furlat2024-02-24 13:14
    Move oai embeddings to work with asynclient and json cache and autobatching
  • Issue comment#1furlat2024-02-24 13:13
    Move oai embeddings to work with asynclient and json cache and autobatching
  • Pull request#11furlat2024-02-24 09:35
  • Pull request#11furlat2024-02-24 09:33
  • Issue comment#7furlat2024-02-23 18:22
    make some tests and choose an openai api compatible local llm server
  • Issue#10furlat2024-02-20 16:59
    add possibility to do multiple structured pydantic extractions at higher temperature and ensemble results
  • Issue comment#7furlat2024-02-20 10:45
    make some tests and choose an openai api compatible local llm server
  • Issue#9furlat2024-02-18 22:13
    rewrite numpy features creation to be effiecient in the loop
  • Issue#8furlat2024-02-16 13:09
    make a general clean of pl.utf8 columns that are supposed to be enums
  • Issue#7furlat2024-02-12 01:49
    make some tests an choose an openai api compatible local llm server

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 17 stars here means stars gained during the window, not the repo's star count.