Neural Networks for Neuroscience Tasks
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Updated
Jun 9, 2024 - Python
Neural Networks for Neuroscience Tasks
An LSTM-based Recurrent Neural Network that translates Modern English into Old (Shakespearean) English
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras (Spotlight).
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks
Hong Kong Polytechnic Unversity Master degree's AI Concept (COMP5511) Course project
The third phase of the 'Deep Learning' course I took on Udemy.
AI油画分析引擎
This repository offers a collection of deep learning models in PyTorch, designed for easy understanding and customisation, serving as a learning and reference tool.
Implementation of a modular, high-performance, and simplistic mamba for high-speed applications
Minimalist NMT for educational purposes
RAF: A RNN-based Chatbot Development Tool
Repository for the proposed DANSE method (under review at EUSIPCO'23), forked from Ghosh repo
Pytorch version of Andrej Karpathy's mini char based RNN.
Unsupervised Kalman Gain Estimation forked from KalmanNet repo (EUSIPCO 2022)
A fully playable snake game application that features an intelligent agent trained using Deep Recurrent Q-Learning
Research code used to study learning dynamics of RNN language models
RNN-based generator of Polish-like words
Pytorch Tutorial
基于pytorch的RNN、LSTM模型构建,RNN进行MNIST数据集分类,LSTM进行古诗生成
Research on Material Science using Neural Networks black box approach
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