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apollo1060

Data and models (with prediction scripts) used in publications related to Apollo1060 platform

atari-py

A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cdvae

An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]

cgcnn

Crystal graph convolutional neural networks for predicting material properties.

cgnn

Crystal Graph Neural Networks

chainer

A flexible framework of neural networks for deep learning

chainer-chemistry

Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry

crystalnet

A directed graph-based deep learning model for predicting material properties based on the CMPNN framework.

data-driven-discretization-1d

Code for "Learning data-driven discretizations for partial differential equations"

deeptraffic

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

deepxde

Deep learning library for solving differential equations and more

dlcv_for_beginners

《深度学习与计算机视觉》配套代码

dlgn

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gdynet

Unsupervised learning of atomic scale dynamics from molecular dynamics.

google-research

Google Research

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym_torcs

hfm

Hidden Fluid Mechanics

leetcode-notes

LeetCode 算法解答

llzo-improvement

This repository is dedicated to the improvement of ionic conductivity in doped LLZO solid-state electrolytes using machine learning models with simplistic descriptors.

meta-q-learning

Code for the paper "Meta-Q-Learning"( ICLR 2020)

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

morld

mujoco

Multi-Joint dynamics with Contact. A general purpose physics simulator.

mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

multiagent-competition

Code for the paper "Emergent Complexity via Multi-agent Competition"

neural-fingerprint

Convolutional nets which can take molecular graphs of arbitrary size as input.