Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019

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

This repository contains demos I made with the Transformers library by HuggingFace.

A Snowflake GPT Demo using SqlAlchemy

Building Systems with the ChatGPT API

Interact privately with your documents using the power of GPT, 100% privately, no data leaks

🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo

A quick guide (especially) for trending instruction finetuning datasets

Build Python LLM apps in minutes ⚡️

LLM Finetuning with peft

Tutorial for langchain LLM library

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.

Hands on Applications with GPT and other Large Language Models

Code assignements from coursera

💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

A Code-First Introduction to NLP course

📖 A curated list of resources dedicated to Natural Language Processing (NLP)

Jupyter notebooks for the Natural Language Processing with Transformers book

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.

500 AI Machine learning Deep learning Computer vision NLP Projects with code