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adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

approachingalmost

Approaching (Almost) Any Machine Learning Problem

autogpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

backprop

BackProp - Deep Learning avec TensorFlow

big-bench

Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

codellama

Inference code for CodeLlama models

concordia

A library for generative social simulation

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

generative-ai-with-llms

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

gpt-llm-trainer

gpt-researcher

GPT based autonomous agent that does online comprehensive research on any given topic

grok-1

Grok open release

guidance

A guidance language for controlling large language models.

langchain-tutorials

Overview and tutorial of the LangChain Library

langchain-webscraper-demo

llm-course

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

meditron

Meditron is a suite of open-source medical Large Language Models (LLMs).

minbpe

Minimal, clean, code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

natural-language-image-search

Search photos on Unsplash using natural language

open-instruct

picogpt

An unnecessarily tiny implementation of GPT-2 in NumPy.

prompt-engineering-guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

text

Making text a first-class citizen in TensorFlow.

vectorhub

VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.