What if GPT could help you notebook?
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Updated
Jan 29, 2024 - Python
What if GPT could help you notebook?
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Jupyter Notebook notes on Andrej Karpathy's tutorial series, "Neural Networks: Zero to Hero."
Whisper2Summarize is an application that uses Whisper for audio processing and GPT for summarization. It generates summaries of audio transcripts quickly and accurately, making it ideal for a variety of use cases such as note-taking, research, and content creation.
Notebooks on using transformers for sequential recommendation tasks
Codes, scripts, and notebooks on various aspects of transformer models.
A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.
A notebook that runs GPT-Neo with low vram (6 gb) and cuda acceleration by loading it into gpu memory in smaller parts.
Build and deploy AI-driven assistants with our OpenAI Assistants Template. This tutorial provides a hands-on approach to using OpenAI's Assistant API, complete with code modules, interactive Jupyter Notebook examples, and best practices to get you started on creating intelligent conversational agents.
This repository contains the collection of explorative notebooks pure in python and in the language that we, humans can read. Have tried to compile all lectures from the Andrej Karpathy's 💎 playlist on Neural Networks - which we will end up with building GPT.
This collection of notebooks is based on the Dive into Deep Learning Book. All of the notes are written in Pytorch and the d2l/torch library
These are the Microsoft Semantic Kernel Workshop notebooks. It addresses AI agents, agents collaboration and, of course, kernel, plugins, planners and function calling
Image Captioning using ViT and GPT. Notebook version in the following link
Implementing neural networks from scratch for a deeper understanding of concepts, featuring a Jupyter notebook with derivative-based implementations.
Python notebook for helping inspire and generate ideas.
Collection of Jupyter Notebooks related to Generative AI.
Code refactoring using large language models in Jupyter notebooks
QA With Jupyter NoteBook(.ipynb) powered by LangChain & Anthropic
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