Repository for "Bitext Mining for Low-Resource Languages via Contrastive Learning"

Summary of my past readings on ML, CV, NLP-related paper. Currently, the update focuses on machine translation and general model architectures.

An Isotropy Analysis in the Multilingual BERT Embedding Space

Official implementation for masked contrastive learning for anomaly detection.(IJCAI-21)

Evaluating Cross-lingual Sentence Representations

Repository for XLM-T, a framework for evaluating multilingual language models on Twitter data

Language-Agnostic SEntence Representations

A simple implementation of SimCSE

[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

in this project, I've implemented the Facebook paper about fine tuning RoBERTa with contrastive loss.

A PhD Thesis Template for School of Computer Science & Informatics in Cardiff University

Siamese and triplet networks with online pair/triplet mining in PyTorch

Lime: Explaining the predictions of any machine learning classifier

Final Degree Project in Explainable Artificial Intelligence

[ICLR 2023] Official code for the paper "Identifiability Results for Multimodal Contrastive Learning"

code for paper "Contrastive Language-Knowledge Graph Pre-training"

Code repository for the paper - "Matryoshka Representation Learning"

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Examples and guides for using the OpenAI API

Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

Sentiment analysis

A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.