Popular GitHub Repositories for States

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

:heart: Fredy - [F]ind [R]eal [E]states [D]amn Eas[y] - Fredy will constantly search for new listings on sites like Immoscout or Immowelt and send new results to you, so that you can focus on more important things in life ;)

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)

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.

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

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

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

A lightweight utility to handle dynamic UI display states like loading, error, or any custom-defined state — based on your app logic.

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.

This hook integrates with Claude Code to automatically create git checkpoints (snapshots) of your code before any file modifications. It provides a safety net allowing you to easily restore previous states if needed, without interfering with your main git repository.

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