A framework for large scale recommendation algorithms.

Repository for Project Insight: NLP as a Service

[NeurIPS 2023] Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation

Federated Learning Utilities and Tools for Experimentation

CLIP (Contrastive Language–Image Pre-training) for Italian

I will implement Fastai in each projects present in this repository.

Retrieval-based Voice Conversion (RVC) implemented with Hugging Face Transformers.

Pytorch implementation of image captioning using transformer-based model.

[TMI 2023] XBound-Former: Toward Cross-scale Boundary Modeling in Transformers

This repository contain my 75Day Hard Generative AI and LLM Learning Challenge.

An ASR (Automatic Speech Recognition) adversarial attack repository.

Image Captioning Vision Transformers (ViTs) are transformer models that generate descriptive captions for images by combining the power of Transformers and computer vision. It leverages state-of-the-art pre-trained ViT models and employs technique

Symbolic music generation taking inspiration from NLP and human composition process

Neural Persian Poet: A sequence-to-sequence model for composing Persian poetry

This repository contains code and resources for abstractive text summarization (TS) using a novel framework that leverages knowledge-based word sense disambiguation (WSD) and semantic content generalization to enhance the performance of sequence-to-sequence (seq2seq) neural-based TS.

Public repo for the paper: "Modeling Intensification for Sign Language Generation: A Computational Approach" by Mert Inan*, Yang Zhong*, Sabit Hassan*, Lorna Quandt, Malihe Alikhani

CHARacter-awaRE Diffusion: Multilingual Character-Aware Encoders for Font-Aware Diffusers That Can Actually Spell

This project investigates the security of large language models by performing binary classification of a set of input prompts to discover malicious prompts. Several approaches have been analyzed using classical ML algorithms, a trained LLM model, and a fine-tuned LLM model.

An autoML for explainable text classification.

✨ Solve multi_dimensional multiple knapsack problem using state_of_the_art Reinforcement Learning Algorithms and transformers