deep-learning

Code and data for ACL 2024 paper on 'Cross-Modal Projection in Multimodal LLMs Doesn't Really Project Visual Attributes to Textual Space'

This repo contains the original implementation of VAuLT, the Vision-and-Augmented-Language Transformer. We provide instructions to download some multimodal social-media datasets, and scripts to experiment with. VAuLT is a stack of Transformers, a LM like BERT that preprocesses the text input of ViLT

Identifying individual speakers in an audio stream based on the unique characteristics found in individual voices using Python

Meeting summarizer to generate important points and actionables from any meeting, lecture and transcript.

Multi-scale Finetuning for Encoder-based Time Series Foundation Models

Sarcasm is a term that refers to the use of words to mock, irritate, or amuse someone. It is commonly used on social media. The metaphorical and creative nature of sarcasm presents a significant difficulty for sentiment analysis systems based on affective computing. The technique and results of our team, UTNLP, in the SemEval-2022 shared task 6 on sarcasm detection are presented in this paper.

🚀 The Ultimate Curated List of LLMOps Tools, Frameworks, and Resources - A comprehensive collection of the best tools for Large Language Model Operations

This is the official repository for CardioLab. A machine and deep learning framework for the estimation and monitoring of laboratory abnormalities throught ECG data.

An unofficial implementation of the CVPR 2020 paper Multimodal Categorization of Crisis Events in Social Media

Implementation of ResFit, Residual Off-Policy RL for Finetuning Behavior Cloning Policies

Fine-tuning Resnet-50 FPN based DNN for road crack detection on RDD2022

Code and supplementary materials for the research paper titled 'Advancing Geological Image Segmentation: Deep Learning Approaches for Rock Type Identification and Classification', published in Applied Computing and Geosciences (Elsevier).

CPU-first, eager-execution tensor/autograd runtime and LLM inference engine written in pure Zig

The complete open-source LLM curriculum — prompt engineering, RAG, fine-tuning, agents, and production deployment. Beginner to advanced. Python. Free forever.

Python framework for artificial text detection: NLP approaches to compare natural text against generated by neural networks.

Official PyTorch Implementation for the "Learning on Model Weights using Tree Experts" paper (CVPR 2025).

A research-oriented training and evaluation framework for ECG-Language Models (ELMs)

Source code of CIKM2021 Paper 'Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need'

Breast cancer classification from Mammogram images using Deep CNN with Keras and TensorFlow.

This repository not only contains experience about parameter finetune, but also other in-practice experience such as model ensemble (boosting, bagging and stacking) in Kaggle or other competitions.