Stars
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
TorchEEG is a library built on PyTorch for EEG signal analysis.
This project proposes an innovative approach to personality estimation from EEG data using Transformer architectures.
Detection of human emotions from eeg signals using the amigos dataset
Self-supervised ECG Representation Learning - ICASSP 2020 and IEEE T-AFFC
Let's train vision transformers (ViT) for cifar 10 / cifar 100!
Transformer: PyTorch Implementation of "Attention Is All You Need"
The project can achieve FCWS, LDWS, and LKAS functions solely using only visual sensors. using YOLOv5 / YOLOv5-lite / YOLOv6 / YOLOv7 / YOLOv8 / YOLOv9 / EfficientDet and Ultra-Fast-Lane-Detection-…
This repo includes the source code and dataset information for reproducing the results of our paper (https://arxiv.org/abs/2009.06435)
Driving risk assessment with deep learning using a monocular camera. Related paper: https://arxiv.org/abs/1906.02859
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
This repository focus on Image Captioning & Video Captioning & Seq-to-Seq Learning & NLP
[EMNLP 2018] Training for Diversity in Image Paragraph Captioning
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
This project visualizes the knowledge of an agent trained by Deep Reinforcement Learning (paper will be published) using Backpropagation, Guided Backpropagation, GradCam and Guided gradCam. It show…
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Caption-Anything is a versatile tool combining image segmentation, visual captioning, and ChatGPT, generating tailored captions with diverse controls for user preferences. https://huggingface.co/sp…
Collection of papers and resources for data augmentation for NLP.
Optimize clustering labels using Silhouette Score.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Examples and guides for using the OpenAI API
Python library providing function decorators for configurable backoff and retry
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