Popular GitHub Repositories for Rovibrational States

Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.

Tensor network based quantum software framework for the NISQ era

ASER (Activities, States, Events, and their Relations): a large-scale weighted eventuality knowledge graph.

A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classify five brain states (four MI classes plus a 'baseline' class) using a data augmentation algorithm and a limited number of EEG channels. Paper: https://doi.org/10.1088/1741-2552/ac4430

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision?processes to predict future game states

[IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BCI)

[CVPR 2023] Official code repository for "How you feelin'? Learning Emotions and Mental States in Movie Scenes". https://arxiv.org/abs/2304.05634

a novel architecture that leverages Autoencoders to superimpose the hidden representations of a base model and a fine-tuned model within a shared parameter space. Using B-spline-based blending coefficients and autoencoders that adaptively reconstruct the original hidden states based on the input data distribution.

A Word Level Transformer layer based on PyTorch and ? Transformers.

Tracking states of the arts and recent results (bibliography) on sound tasks.

Learning to Identify Critical States for Reinforcement Learning from Videos (Accepted to ICCV'23)

A blog introducing the idea of classical shadow tomography, and Hamiltonian-driven shadow tomography of quantum states(https://arxiv.org/pdf/2102.10132.pdf)

Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.

This repository contains a Python code script for performing emotion classification using EEG (Electroencephalogram) data. Emotion classification from EEG signals is an important application in neuroscience and human-computer interaction. The code leverages deep learning techniques to analyze EEG data and predict emotional states.

The goal of this project is to build an RL-based algorithm that can help cab drivers maximize their profits by improving their decision-making process on the field. Taking long-term profit as the goal, a method is proposed based on reinforcement learning to optimize taxi driving strategies for profit maximization. This optimization problem is formulated as a Markov Decision Process i.e. MDP.

Open AI Gym version of Berkeley AI Pacman with images as states

An experimental custom seq-2-seq model with both layer-wise (inter-layer), and intra-layer attention (attention to previous hidden states of the same RNN unit) for abstractive summarization.

Intelligent chatbot with Indicators Dashboard developed for internal use by a private company, with the aim of providing fast and reliable responses on public data from Brazilian municipalities and states, as well as institutional information from the company itself. The solution integrates scraping, public APIs, LLMs and an interactive interface.

Source code of "The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States" (arXiv: https://arxiv.org/abs/2412.17056)