Xinjian OUYANG (XinjianOUYANG)

XinjianOUYANG

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Company:CentraleSupélec

Location:France

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Xinjian OUYANG's starred repositories

Looking-to-Listen-at-the-Cocktail-Party

Executable code based on Google articles

Language:PythonLicense:MITStargazers:162Issues:0Issues:0

PhiFlow

A differentiable PDE solving framework for machine learning

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tsase-feedstock

A conda-smithy repository for tsase.

License:BSD-3-ClauseStargazers:1Issues:0Issues:0

schnetpack

SchNetPack - Deep Neural Networks for Atomistic Systems

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CircuitNet

CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)

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Neural-Network-Quantum-Field-States

Code for Neural Network Quantum Field States

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awesome-RLHF

A curated list of reinforcement learning with human feedback resources (continually updated)

License:Apache-2.0Stargazers:3232Issues:0Issues:0

PPOxFamily

PPO x Family DRL Tutorial Course(决策智能入门级公开课:8节课帮你盘清算法理论,理顺代码逻辑,玩转决策AI应用实践 )

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deepmd-kit

A deep learning package for many-body potential energy representation and molecular dynamics

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ecco

Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:1965Issues:0Issues:0

jalammar.github.io

Build a Jekyll blog in minutes, without touching the command line.

Language:Jupyter NotebookLicense:MITStargazers:807Issues:0Issues:0

pymatgen

Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.

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DeepH-pack

Deep neural networks for density functional theory Hamiltonian.

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community

DeepModeling community content

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qlib

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

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cgcnn

Crystal graph convolutional neural networks for predicting material properties.

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lammps-input-files

LAMMPS inputs and data files

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mlearn

Benchmark Suite for Machine Learning Interatomic Potentials for Materials

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dpgen

The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field

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mobi_for_coding

搜集整理的可供kindle(iPad、手机均可)使用的计算机类书籍

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Statistical-Learning-Methods

Implement Statistical Leanring Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现

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ddsp

DDSP: Differentiable Digital Signal Processing

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DeepLearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

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Python-100-Days

Python - 100天从新手到大师

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awesome-python-applications

💿 Free software that works great, and also happens to be open-source Python.

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