Google Research

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

A guidance language for controlling large language models.

Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supportin…

An open-source, low-code machine learning library in Python

Automatic extraction of relevant features from time series:

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

The "Python Machine Learning (3rd edition)" book code repository

A Bulletproof Way to Generate Structured JSON from Language Models

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

Introduction to Deep Neural Networks with Keras and Tensorflow

Fast and Easy Infinite Neural Networks in Python

Open-source implementation of Google Vizier for hyper parameters tuning

maximal update parametrization (µP)

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

RETVec is an efficient, multilingual, and adversarially-robust text vectorizer.

This repo contains the code for generating the ToxiGen dataset, published at ACL 2022.

Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.

Find and fix bugs in natural language machine learning models using adaptive testing.

Resources for a 3.5 hour workshop on machine learning using the MLJ toolbox

This is a repo for all the tutorials put out by H2O.ai. This includes learning paths for Driverless AI, H2O-3, Sparkling Water and more...

This repository is for coding exercises listed in Book Hands on One Shot Learning.

A high performance implementation of Reciprocal Agglomerative Clustering in C++

H2OAI Driverless AI Code Samples and Tutorials

New approach to use Snomed-CT Concept using Word Embedding with Word2vec

Instruct-tune LLaMA on consumer hardware