Bats Research (@BatsResearch)
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BatsResearch

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  • Stars
    star
    858
  • Global Org. Rank 17,035 (Top 6 %)
  • Registered almost 8 years ago
  • Most used languages
    Python
         95.7 %
    Jupyter Notebook
         4.3 %
  • Location 🇺🇸 United States
  • Country Total Rank 18,327
  • Country Ranking
    Python
         1,313

Top repositories

1

bonito

A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.
Python
665
star
2

zsl-kg

Framework for zero-shot learning with knowledge graphs.
Python
111
star
3

csp

Learning to compose soft prompts for compositional zero-shot learning.
Python
82
star
4

wiser

Framework for weakly supervised deep sequence taggers, focused on named entity recognition
Python
80
star
5

menghini-neurips23-code

Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.
Python
40
star
6

alfred

A system for prompted weak supervision.
Python
37
star
7

nayak-aclfindings24-code

Python
20
star
8

taglets

Python
18
star
9

safranchik-aaai20-code

Python
15
star
10

labelmodels

Lightweight implementations of generative label models for weakly supervised machine learning
Python
14
star
11

nplm

A weak supervision framework for (partial) labeling functions
Python
12
star
12

efsl

Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks
Python
11
star
13

LexC-Gen

Generate synthetic labeled data for extremely low-resource languages using bilingual lexicons.
Python
11
star
14

nayak-tmlr22-code

Python
9
star
15

yu-aistats22-code

Jupyter Notebook
6
star
16

amcl

Adversarial Multi Class Labeling
Python
5
star
17

fudd

Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification
Python
5
star
18

piriyakulkij-mlsys22-code

Python
4
star
19

mazzetto-aistats21-code

Python
3
star
20

mazzetto-neurips22-code

Python
2
star
21

su-bigdata23-code

Code Repository for IEEE BigData 23 Paper "Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision"
Python
2
star
22

mazzetto-icml21-code

Python
1
star
23

mazzetto-arxiv23-code

An Adaptive Method for Weak Supervision with Drifting Data
Python
1
star
24

LexC-Gen-Data-Archive

Data Repository for LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons
1
star