Machine learning End to End project from data collection to deployment and monitoring (Regression problem)

Direct Preference Optimization from scratch in PyTorch

Code for Quiet-STaR

Codebase, data and models for the SummaC paper in TACL

Information and materials for the Turing's "robots-in-disguise" reading group on fundamental AI research.

Implement the paper "Self-Attention with Relative Position Representations"

Storing all dummy data

This repository introduces MentaLLaMA, the first open-source instruction following large language model for interpretable mental health analysis.

EMNLP 2023 Papers: Explore cutting-edge research from EMNLP 2023, the premier conference for advancing empirical methods in natural language processing. Stay updated on the latest in machine learni…

A simple approach to use GPT2-medium (345M) for generating high quality text summaries with minimal training.

This repository holds the output of the repository: https://github.com/abisee/cnn-dailymail

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

Pytorch implementation of Compressive Transformers, from Deepmind

Detects usage of unsafe Rust in a Rust crate and its dependencies.

The PyTorch implementation of ReCoSa(the Relevant Contexts with Self-attention) for dialogue generation using the multi-head attention and GRU.

Transformer seq2seq model, program that can build a language translator from parallel corpus

2021-2022 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics

Context-Dependent Sentiment Analysis in User-Generated Videos

pytorch tutorial for beginners

This repo contains implementation of different architectures for emotion recognition in conversations.

The most important NLP highlights of 2018 (PDF Report)

Contextual inter modal attention for multimodal sentiment analysis

Reading list for research topics in multimodal machine learning

Record some papers I have read and paper notes I have taken, also including some awesome papers reading lists and academic blog posts.

Learning multimodal word embeddings from youtube video data

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.