Jiaming Cheng's repositories
column-and-constraint-generation-method-for-ARO
This repo is to reproduce the code for paper "Solving two-stage robust optimization problems using a column-and-constraint generation method"
Renewable_EC
Optimal Workload Allocation for Distributed Edge Clouds With Renewable Energy and Battery Storage
NetSoft_2023_bandit_pricing
This repo is the code for paper "A Bandit Approach to Online Pricing for Heterogeneous Edge Resource Allocation"
Optimization_in_python_tutorial
This repo is to introduce very helpful mathematical programming tool (Gurobipy)
A-reformulation-strategy-for-mixed-integer-linear-bi-level-programming-problems
This repo is to reproduce the code for paper "A-reformulation-strategy-for-mixed-integer-linear-bi-level-programming-problems"
Algorithms-Stanford
Assignments (Python) in Algorithms Courses of Stanford University at Coursera
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Deep-Reinforcement-Learning
Code of the book <Deep Reinforcement Learning: Principles and Practices>
DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
DRL-code-pytorch
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
google-research
Google Research
gurobi-optimods
Nice APIs for common optimization tasks
LeetCode-Solutions
🏋️ Python / Modern C++ Solutions of All 2936 LeetCode Problems (Weekly Update)
neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
open-source-cs
Video discussing this curriculum:
OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
p4-learning
Compilation of P4 exercises, examples, documentation, slides for learning or teaching
power-systems-optimization
Power systems optimization course materials
reinforcement_learning
Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.