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deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

diffeqflux.jl

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

diffrax

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

diffusion

Denoising Diffusion Probabilistic Models

django-cryptoreader

django-react-logrocket

A simple integration between Django API and React App

dncnn-pytorch

PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

dogr

easylm

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

effective-gan-mnist-data

efficient-kan

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

example-app-commenting

A Streamlit app to show how you can easily empower viewers to comment and collaborate on your app using a commenting component. The comments are hosted on a Google Sheets.

example-app-csv-wrangler

fabric

fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

fast-kan

FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)

forest_based_tree

The code implements a novel method for converting random forest into a single decision tree

ga

Code for the paper: Augmenting genetic algorithms with deep neural networks for exploring the chemical space

gantk2

GAN(TK)²: GAN Neural Tangent Kernel ToolKit

gantree

Code for ICCV Paper "GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions"

gan_stability

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

generative-inverse-heat-dissipation

Code release for the paper Generative Modeling With Inverse Heat Dissipation

generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

ginns-geometry-informed-neural-networks

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gpt-neo

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

graphcast

hazm

Python library for digesting Persian text.

hezar

The all-in-one AI library for Persian, supporting a wide variety of tasks and modalities!