LeizhenWang

LeizhenWang's Stars

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python7.8k1293591.5k

• datawhalechina/hugging-llm

  HuggingLLM, Hugging Future.

  Language:Jupyter Notebook2.7k3911345

• cvxgrp/cvxpylayers

  Differentiable convex optimization layers

  Language:Python1.8k56112159

• Thinklab-SJTU/awesome-ml4co

  Awesome machine learning for combinatorial optimization papers.

  Language:Python1.6k362192

• DiffEqML/torchdyn

  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

  Language:Jupyter Notebook1.4k27113125

• datawhalechina/hugging-multi-agent

  A tutorial based on MetaGPT to quickly help you understand the concept of agent and muti-agent and get started with coding development. 基于MetaGPT的多智能体入门与开发教程

  Language:CSS1.3k1397196

• bayesoptbook/bayesoptbook.github.io

  Companion webpage for the book "Bayesian Optimization" by Roman Garnett

  Language:HTML865245442

• altdeep/causalML

  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

  Language:Jupyter Notebook721296192

• khalil-research/PyEPO

  A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming

  Language:Jupyter Notebook4229954

• boschresearch/torchphysics

  Language:Jupyter Notebook38991041

• locuslab/mdeq

  [NeurIPS'20] Multiscale Deep Equilibrium Models

  Language:Python232131028

• PointsCoder/GPT-Driver

  Learning to Drive with GPT

  Language:Python2225710

• locuslab/deq-flow

  [CVPR 2022] Deep Equilibrium Optical Flow Estimation

  Language:Python17710818

• usail-hkust/LLMTSCS

  Official code for article "LLMLight: Large Language Models as Traffic Signal Control Agents".

  Language:Python15351816

• boschresearch/multiplicative-filter-networks

  Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.

  Language:Python89847

• locuslab/torchdeq

  Modern Fixed Point Systems using Pytorch

  Language:Python75678

• KrisNguyen135/bayesian-optimization-in-action

  Source code for Bayesian Optimization in Action, published by Manning

  Language:Jupyter Notebook683030

• Chrisejorge/Causal-Inference

  Materials Collection for Causal Inference

  Language:Yacc371018

• facebookresearch/neural-scs

  Neural Fixed-Point Acceleration for Convex Optimization

  Language:Python29743

• DaRL-LibSignal/PromptGAT

  PromptGAT: Prompt learning for Sim2Real under reinforcement learning

  Language:Python190

• arjhuang/pise

  Physics Informed Deep Learning for Traffic State Estimation: Illustrations with LWR and CTM Models

  Language:Python115

• pabloguarda/pesuelogit

  Parameter Estimation of LOGIT-based Stochastic User Equilibrium models using computational graphs and day-to-day system-level data

  Language:Python7201

• pabloguarda/probabilistic-graphical-transportation-networks

  Probabilistic graphical models to learn Origin-Destination matrices in transportation networks using TensorFlow

  Language:Python6210

• stellatogrp/learning_rationality_in_potential_games

  Language:Python5

• ArbeitsgruppeTobiasHarks/dynamic-prediction-equilibria

  Computation of dynamic selfish flows using predicted travel times

  Language:Python40

• khalil-research/Neur2BiLO

  Language:JetBrains MPS4200

• pabloguarda/mate

  Network-wide estimation of traffic flow and travel time with data-driven macroscopic models

  Language:Python4202

• pabloguarda/neural-transportation-networks

  Data-driven neural models to learn and predict travel behavior in transportation networks using PyTorch

  Language:Python4102

• DanielMckenzie/Nash_FPNs

  Nash FPNs: Learning to Predict Nash equilibria from data using implicit neural networks

  Language:Jupyter Notebook30

• Zero8319/DACOOP-A

  Language:Python3