Stars
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.
Google Research
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A game theoretic approach to explain the output of any machine learning model.
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
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…
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)
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Flax is a neural network library for JAX that is designed for flexibility.
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
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 automatically adjustment of text position in matplotlib plots to minimize overlaps.
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.
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
Biological foundation modeling from molecular to genome scale
Deep Learning for Coders, 2020, the website
https://www.sc-best-practices.org
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
A Python package for exploring and analysing genetic variation data
Maximum likelihood inference of time stamped phylogenies and ancestral reconstruction
Exploration of methods for coloring t-SNE.
GENA-LM is a transformer masked language model trained on human DNA sequence.