A-ttack
Hate speech detector
An algorithm for detecting hate speech in short texts
Dette repository indeholder kode og modelvægtene til A&ttack algortimen.
6 stars
2 watching
0 forks
Language: Python
last commit: over 1 year ago
Linked from 1 awesome list
algorithmclassificationhatespeechmlnlppytorch
fnielsen/awesome-danishRelated projects:
| Repository | Description | Stars |
|---|---|---|
| ogtal/ha-te | A tool for classifying text into 'hate speech' and other categories | 6 |
 thunlp/openattack | A Python toolkit for generating adversarial examples to test the robustness of natural language processing models | 689 |
 langtech/toney | An application that classifies text based on its tone using machine learning algorithms and natural language processing techniques. | 5 |
 alvations/sugali | A system designed to identify the language of an arbitrary text string using machine learning and multiple data sources. | 2 |
 uglytoad/pragmaticsegmenternet | A C# implementation of sentence boundary detection with rule-based approach. | 33 |
 get-woke/woke | Detects and suggests replacements for non-inclusive language in source code. | 454 |
 abadojack/whatlanggo | A library for detecting and identifying languages in text | 643 |
 pemistahl/lingua-go | A library that accurately detects the language of short to long text inputs without requiring external APIs or configuration. | 1,190 |
 mstksg/advent-of-code-ocr | A tool for parsing ASCII art word solutions from Advent of Code puzzles | 5 |
 hegusung/avsignseek | A tool to help identify the location of antivirus signatures in binary payloads | 312 |
| pemistahl/lingua | An accurate language detection library for Java and the JVM suitable for both short and long text inputs. | 707 |
 teknologi-umum/flourite | Automatically detects programming languages from given strings. | 38 |
 awni/speech | A PyTorch implementation of end-to-end speech recognition models. | 754 |
 arjo129/uspeech | A toolkit for speech recognition on Arduino using C++ | 473 |
 nyu-mll/bbq | A dataset and benchmarking framework to evaluate the performance of question answering models on detecting and mitigating social biases. | 87 |