A neural network that transforms a design mock-up into a static website.

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Pull stock prices from online API and perform predictions using Long Short Term Memory (LSTM) with TensorFlow.js framework

真实预测未来7天的天气气象数据，使用多种机器学习和深度学习LSTM算法，采集全国各省历史、实时数据（天气预报、极端天气预警、生活指数），可视化大屏，Hadoop、Spark、Hive数仓数据分析，大模型AI智能问答系统

Files and Scripts to run Tesseract 5 LSTM Training using fonts

Predict bitcoin values using social sentiments (e.g. news and reddit posts)

Predict the toxicity rating of comment made by the user.

Crossfit WOD generator using recurrent neural networks (LSTM), implemented in Tensorflow

RNN-LSTM that learns passwords from a starting list

Artificial Intelligence for Trading

A web app implemeted with ML algo to make prediction on stock data, made on Django framework.(Stock-Market-predictor)

a Keras neural network trained to write Shakespearean sonnets, with a Flask web interface

Using LSTM Neural Networks to predict the future temperatures.

An AI-powered personal finance tracker to manage expenses, predict spending, and plan budgets using machine learning.

Worked towards using the encoder-decoder network along with long short term memory (LSTM) network in order to develop the framework for solving the video matting problem.

Detectify is a deep learning system that detects AI-generated fake videos (deepfakes) using CNN and LSTM-based RNNs. Trained on datasets like Face-Forensic++, Deepfake Detection Challenge, and Celeb-DF, Detectify offers real-time video manipulation detection to combat misinformation and misuse of deepfake technology.

Engineered an advanced deep learning model to automate the classification of financial documents, including Balance Sheets, Cash Flow and Income Statements using Bidirectional LSTM and TensorFlow. The model achieved an impressive accuracy of 96.2%, enhancing efficiency and reducing errors in document management for the finance and banking sectors.

KW-Capstone-project : Korean Sign-Language Translator

"Having Fun with Recurrent Neural Networks (RNNs)" - Tutorial for PyData 2017 - TensorFlow - Text [and songs] Generation

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