Jupyter notebooks for the code samples of the book "Deep Learning with Python"

🦙 Integrating LLMs into structured NLP pipelines

The first real AI developer

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

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

NYU Deep Learning Spring 2021

The code used to train and run inference with the ColPali architecture.

Official implementation of AnimateDiff.

WarpFusion

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

Convert any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/

DSPy: The framework for programming—not prompting—foundation models

Neural Networks: Zero to Hero

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

📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥

LLM inference in C/C++

LLM101n: Let's build a Storyteller

Minimal and clean examples of machine learning algorithms implementations

Open-source AI cookbook

LLM training in simple, raw C/CUDA

A quick guide (especially) for trending instruction finetuning datasets

Emote Portrait Alive: Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions

A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.

Coursera Machine Learning By Prof. Andrew Ng

Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich

100 Days of ML Coding

Full Notes of Andrew Ng's Coursera Machine Learning.