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🦜🔗 Build context-aware reasoning applications
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Python Data Science Handbook: full text in Jupyter Notebooks
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A game theoretic approach to explain the output of any machine learning model.
The fastai book, published as Jupyter Notebooks
This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), ar…
Instruct-tune LLaMA on consumer hardware
Data and code behind the articles and graphics at FiveThirtyEight
StableLM: Stability AI Language Models
llama3 implementation one matrix multiplication at a time
Companion webpage to the book "Mathematics For Machine Learning"
Neural Networks: Zero to Hero
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Official inference library for Mistral models
This repository contains demos I made with the Transformers library by HuggingFace.
A collection of pre-trained, state-of-the-art models in the ONNX format
A series of large language models trained from scratch by developers @01-ai
Visualizations for machine learning datasets
CoreNet: A library for training deep neural networks
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
Understanding Deep Learning - Simon J.D. Prince
Python code for "Probabilistic Machine learning" book by Kevin Murphy
The Udacity open source self-driving car project