danielshaps's repositories

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edos

Public repository for SemEval 2023 - Task 10 - Explainable Detection of Online Sexism (EDOS)

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edos_data

Original data here: https://github.com/rewire-online/edos

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edward2

A simple probabilistic programming language.

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entropy_estimators

Estimators for the entropy and other information theoretic quantities of continuous distributions

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evoclearn_optccv_2022

Articulatory synthesis samples for Interspeech 2022

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GraphHierarchy

A depository for python code which implements the newly developed network analytical tools concerning trophic analysis generalised to all networks.

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Lbl2Vec

Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

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leven-search

Fast and flexible dictionary search using Levenshtein distance.

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LibriTTSLabel

Alignment files of LibriTTS.

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loss-landscape

Code for visualizing the loss landscape of neural nets

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PEEK-Dataset

To make the peek dataset available

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Prompt-Engineering-for-KE

Testing Prompt Engineering Methods for Knowledge Extraction from Text

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Pubmed-Batch-Download

Batch download articles based on PMID (Pubmed ID)

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robustness

Corruption and Perturbation Robustness (ICLR 2019)

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sample-python

⛵ App Platform sample Python application.

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shennong

A Python toolbox for speech features extraction

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simpledorff

Calculate Krippendorff's Alpha on any DataFrame

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swa_gaussian

Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

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tensorflow_addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

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Transformer-MM-Explainability

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

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TrueLearn

This repository contains all the code and instructions on setting up the environment and running the TrueLearn algorithm

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uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

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variational-nn-pytorch

Variational Neural Networks Pytorch implementation

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VariationalInformationPursuit

Official Implementation for Variational Information Pursuit for Interpretable Predictions (ICLR 2023)

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vit-explain

Explainability for Vision Transformers

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