Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

YSDA course in Natural Language Processing

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Python code for common Machine Learning Algorithms

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep N…

Машинное обучение на ФКН ВШЭ

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

Financial Sentiment Analysis with BERT

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and…

A 4-hour coding workshop to understand how LLMs are implemented and used

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options

Python for Finance Cookbook, published by Packt

Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

Learn Apache Spark in Scala, Python (PySpark) and R (SparkR) by building your own cluster with a JupyterLab interface on Docker. ⚡

DataCamp Project Solutions

The code from the Machine Learning Bookcamp book

Contains Solutions to Deep Learning Specailization - Coursera

🍧 DataCamp data-science and machine learning courses

Deep learning codes and projects using Python

Fundamentals of Spark with Python (using PySpark), code examples

Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn the basics of object-orie…

GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management