Stars
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
[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.
jamescalam / openai-cookbook
Forked from openai/openai-cookbookExamples 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
A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.