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Name: David Adelani
Type: User
Bio: PhD Student @ Saarland University
Name: David Adelani
Type: User
Bio: PhD Student @ Saarland University
A collection of various deep learning architectures, models, and tips
Privacy-preserving representations of training data for de-identification
PyTorch implementation of the Delete, Retrieve Generate style transfer algorithm
DEVS Based Artificial Neural Networks
Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference
End-To-End Task-Completion Dialogue Challenge
This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113
Feature-Critic Networks for Heterogeneous Domain Generalisation
Few-NERD
Code for ACL2020 paper: Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network
Finetune VITS and MMS using HuggingFace's tools
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Facebook Low Resource (FLoRes) MT Benchmark
FTAC text
Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/
A simple PyTorch implementation for "Global Vectors for Word Representation".
Python implementation of GloVe word embedding algorithm (Pennington et al., 2014) for educational purposes
Code for the paper "Language Models are Unsupervised Multitask Learners"
Machine translation (MT) benchmark dataset for languages in the Horn of Africa.
Code for the paper: How to Distill your BERT: An Empirical Study on the Impact of Weight Initialisation and Distillation Objectives (ACL 2023)
Code and data for "Heterogeneous Supervised Topic Models"
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
Pretraining scripts for BART transformer model
A program to choose transfer languages for cross-lingual learning
A PyTorch Library for Meta-learning Research
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.