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awesome-multimodal-knowledge-graph

A curated list of AWESOME papers, datasets and tutorials within Multimodal Knowledge Graph.

deep-learning-for-causal-inference

Extensive tutorials for learning how to build deep learning models for causal inference using selection on observables in Tensorflow 2.

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

deep-scheduler

Learning to schedule distributed resources with deep reinforcement learning.

exarl

Scalable Framework for Reinforcement Learning

gflownet

Generative Flow Networks

grok-1

Grok open release

hugs2021

lammps

Public development project of the LAMMPS MD software package

minrl

Proxy app for EXARL

models

Models and examples built with TensorFlow

morl

Multi-Objective Reinforcement Learning

pca-autoencoder-relationship

Understand the relationship between PCA and autoencoder

pinn_ode_tutorial

seed_rl

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

simplified-ai-for-accelerators

AI for Accelerators: Reinforcement Learning for Booster-GMPS System Offline ML Development

swarm-learning

A simplified library for decentralized, privacy preserving machine learning

swmm_rl

Repo for SWMM RL code