Value or Momentum? Comparing Random Forests, Support Vector Machines, and Multi-layer Perceptrons for Financial Time Series Prediction & Tactical Asset Allocation

Code and resource of "FinEntity: Entity-level Sentiment Classification for Financial Texts" EMNLP 2023

a classification model that classify whether the EURUSD stock exchange will go up or down next day based on historical data

Built a sentiment analysis model to predict the sentiment of a Financial News article. A comparative study of different optimizers used for training was done.

Using Bert/Roberta + LSTM/GRU/BiLSTM/TextCNN to do the sentiment analysis on the imdb datasets.

Stock price forecasting stuff with BERT

This project applies three main methods to make sentiment analysis on financial data: Machine Learning, LSTM using TensorFlow with Keras API, and BERT Transformer using the "simpletransformers" lib…

FinBERT-LSTM: Deep Learning based stock price prediction using News Sentiment Analysis

Contains a collection of deep learning projects I completed as part of my coursework with Edvancer Eduventures.

Physics Informed Neural Network for Time Series Forecasting

finetuning shakespeare on karpathy/nanoGPT

A nanoGPT pipeline packed in a spreadsheet

assamese poem generator using nanoGPT. trained on arambhani.txt from kaggles.

This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow

BNLP is a natural language processing toolkit for Bengali Language.

Bangla-Bert is a pretrained bert model for Bengali language

A tool for extracting plain text from Wikipedia dumps

13 projects using ChatGPT API, Whisper, Embeddings, and DALL-E with Python.

Python example app from the OpenAI API quickstart tutorial

Training code for BanglaGPT model

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

Scientific Machine Learning using Julia

Various implementations of the classical SIR model in Julia

Visualization for Flux.Chain neural networks

How to train a neural ODE for time series/weather forecasting

A machine learning model for week-ahead hypoglycemia prediction from continuous glucose monitoring data.