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21 Lessons, Get Started Building with Generative AI ๐ https://microsoft.github.io/generative-ai-for-beginners/
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Learn how to design, develop, deploy and iterate on production-grade ML applications.
๐ Text-Prompted Generative Audio Model
Google Research
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
This is a repo with links to everything you'd ever want to learn about data engineering
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A guidance language for controlling large language models.
Instruct-tune LLaMA on consumer hardware
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filteโฆ
A course on aligning smol models.
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Solve puzzles. Improve your pytorch.
๐ฆ ๐๐ฒ๐ฎ๐ฟ๐ป about ๐๐๐ ๐, ๐๐๐ ๐ข๐ฝ๐, and ๐๐ฒ๐ฐ๐๐ผ๐ฟ ๐๐๐ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + ๐ท๐ช๐ฅ๐ฆ๐ฐ & ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
List of papers, code and experiments using deep learning for time series forecasting
Algorithms for outlier, adversarial and drift detection
Doing simple retrieval from LLM models at various context lengths to measure accuracy
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
Machine Learning Journal for Intermediate to Advanced Topics.
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.