chaolimao Goto Github PK

adaptive-tgdlf

cayman

Cayman is a Jekyll theme for GitHub Pages

chaoli_page.github.io

chaolimao.github.io

My Blog / Jekyll Themes / PWA

chaolimao_old.github.io

cnn_drag_prediction

A convolutional neural network for drag prediction in laminar flows

conv-social-pooling

Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018

deep-learning-environmental-pattern-recognition

A coupled numerical forecast and deep learning prediction model for weather pattern recognition

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-for-microgrids

A Deep Reinforcement Learning based approach for energy supply management in MicroGrids

deephpms

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

deepqmc

Deep learning quantum Monte Carlo for electrons in real space

deer

DEEp Reinforcement learning framework

depo_ngsim

Code for ICML 2021 paper "Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization" on NGSIM dataset

driving-irl-ngsim

(T-ITS) Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning

elegantbook

Elegant LaTeX Template for Books

explainaibility-for-graph-neural-network

This project helps us to explain and visualize which atoms in a molecule are positively/negatively contributing to the result of molecular property prediction.

fbsnns

Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations

fcn-pytorch

🚘 Easiest Fully Convolutional Networks

fliploggpt_llm

Interactive LLM for logs and security analysis with vectorstores

forecasting-weather-using-machine-learning

Forecasting weather Using Multinomial Logistic Regression, Decision Tree, Naïve Bayes Multinomial, and Support Vector Machine

fourcastnet

Initial public release of code, data, and model weights for FourCastNet

fuxi

A cascade machine learning forecasting system for 15-day global weather forecast

gps-automatic-mapping

Map a previously unmapped road with good precision after several walks and runs carrying a cheap GPS sensor (calculate average path).

graph-network-explainability

Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "Explainability Techniques for Graph Convolutional Networks" (ICML19)

graph_cfd_supervised

Repository for the paper 'Graph neural networks for laminar flow prediction around random 2D shapes'

graphcast

graphs4cfd

Graph Neural Networks (GNN) based solvers for Computational Fluid Dynamics (CFD)

heat2d_solver_cpp

Finite element analysis of 2D heat transfer problems. This is a new version to previous solver

hfm

Hidden Fluid Mechanics