Web application for predicting the number of available bike stands at one of the MBajk bike stations.

🌎 🚙📚 Predicting travel times and traffic density on a highway in Slovenia

Welcome to InterviewX, your ultimate interview companion powered by AI. With features like scam detection, resume optimization, real-time posture analysis, time-saving text summarization, and ice breaker insights, InterviewX equips you with everything you need to ace your next interview with confidence and ease.

The repository contains notebooks created for collecting and preprocessing the corpus of diary entries and for experiments on creating models for predicting gender, age groups of authors and the time period of text creation.

A curated list of awesome Deep Learning tutorials, projects and communities. With repository stars⭐ and forks🍴

This is the hub for all the projects I have worked on.

The aim of this project is to understand the principles of text pre-processing and vocabulary building.

This repository features notebooks and datasets for predicting Tesla (TSLA) stock prices using LSTM models. Explore historical data, forecast trends, and gain insights into TSLA's market movements.

The RWTH extensible training framework for universal recurrent neural networks

Developed a deep learning model utilizing TensorFlow to automate the classification of financial documents. Leveraging a Bidirectional LSTM RNN, we accurately categorize the documents. Our user-friendly Streamlit application ensures high accuracy & efficiency in document management, all deployed on the Hugging Face platform for seamless integration

This repository contains an implementation of a Deep Recurrent Neural Network (RNN) using PyTorch for predicting students' grades in their 5th semester based on their previous academic grades from the 1st to 4th semesters.

A Telegram bot that takes in an exported WhatsApp chat and uses it to send you text in your and your friend's writing style 😎

Documentation related to RNN

The practitioner's forecasting library

Code for "Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection" @ SIGKDD2021

🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js

Code for "Sufficient conditions for offline reactivation in recurrent neural networks" (ICLR 2024)

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

A Speech Recognition Framework for Banking Interactions using Convolutional Recurrent Dense Neural Networks and Language Models

Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras (Spotlight).