Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras (Spotlight).
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Updated
Jun 14, 2024 - Python
Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras (Spotlight).
Neural Networks for Neuroscience Tasks
An LSTM-based Recurrent Neural Network that translates Modern English into Old (Shakespearean) English
The repository contains the notebook as well as python implementations of laguange models, from basic naive implementations to Transformers on a simple name dataset. more notebooks and files will be added regularly
sentiment analysis on Amazon reviews using deep learning models (simpleRNN and LSTM). Preprocess the dataset, split it for training and validation, and build a vocabulary for word embedding. The project includes a real-time prediction feature for user-inputted reviews and provides a report detailing model summaries and best hyperparameters.
Diagnosing ‘silent’ heart attack using ECG waveforms (A Nightingale Open Science dataset)
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks
Hong Kong Polytechnic Unversity Master degree's AI Concept (COMP5511) Course project
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
A comparative analysis of deep learning algorithms for multi label image classification using microscopic images.
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.
This repository was commited under the action of executing important tasks on which modern Generative AI concepts are laid on. In particular, we focussed on three coding actions of Large Language Models. Extra and necessary details are given in the README.md file.
Implementation of a modular, high-performance, and simplistic mamba for high-speed applications
First Machine Learning Trial(Long Short-Term Memory) with Pytorch
RNN and naive bayes notebooks for sentiment analysis (pytorch)
Minimalist NMT for educational purposes
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