21 Lessons, Get Started Building with Generative AI

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.

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

This is a repo with links to everything you'd ever want to learn about data engineering

Google Research

The fastai deep learning library

A game theoretic approach to explain the output of any machine learning model.

Kolmogorov Arnold Networks

StableLM: Stability AI Language Models

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

CoreNet: A library for training deep neural networks

Flax is a neural network library for JAX that is designed for flexibility.

Google Brain AutoML

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Swift for TensorFlow

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

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Repo for the Deep Learning Nanodegree Foundations program.

SoTA LLM for converting natural language questions to SQL queries

felixge's notes on the various go profiling methods that are available.

A crash course in six episodes for software developers who want to become machine learning practitioners.

Algorithms for outlier, adversarial and drift detection

An educational demonstration of breaking the Enigma machine

Time-Series-Optimized Transformer for Observability

To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax pr…

A collection of tools for reverse engineering neural networks.

BigQuery import and processing pipelines