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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.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A game theoretic approach to explain the output of any machine learning model.
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…
This repository contains implementations and illustrative code to accompany DeepMind publications
The "Python Machine Learning (1st edition)" book code repository and info resource
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Flax is a neural network library for JAX that is designed for flexibility.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Genome modeling and design across all domains of life
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative ski…
A small library for automatical adjustment of text position in matplotlib plots to minimize overlaps.
Biological foundation modeling from molecular to genome scale
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
https://www.sc-best-practices.org
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
Deep Learning for Coders, 2020, the website
Cell2Sentence: Teaching Large Language Models the Language of Biology
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI
BioNeMo Framework: For building and adapting AI models in drug discovery at scale
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
A Python package for exploring and analysing genetic variation data