Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Instruct-tune LLaMA on consumer hardware

Free MLOps course from DataTalks.Club

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

CoreNet: A library for training deep neural networks

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Reference models and tools for Cloud TPUs.

Collection of useful data science topics along with articles, videos, and code

[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).

GenAI Cookbook

NYU Deep Learning Spring 2021

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

DX Analytics | Financial and Derivatives Analytics with Python

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

Python Feature Engineering Cookbook, published by Packt

Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽‍💻

👩🏻‍🍳 A collection of example notebooks

Transformers 3rd Edition

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more

API & Webapp to answer questions about COVID-19. Using NLP (Question Answering) and trusted data sources.

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

Materials for GWU DNSC 6279 and DNSC 6290.

Colab notebooks part of the documentation of Stable Baselines reinforcement learning library