Stars
Sustain-LC is a benchmarking environment for traditional and reinforcement learning based controls as well as LLM based control
Collection of papers using LLaMA as backbone model
SustainDC is a set of Python environments for Data Center simulation and control using Heterogeneous Multi Agent Reinforcement Learning. Includes customizable environments for workload scheduling, …
A collection of multi agent environments based on OpenAI gym.
A lightweight, object-oriented finite state machine implementation in Python with many extensions
A platform to test reinforcement learning policies in the datacenter setting.
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
Robustness Gym is an evaluation toolkit for machine learning.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
High throughput synchronous and asynchronous reinforcement learning
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
Temporal Fusion Transformers for Tensorflow 2.x
Google Research
Alumni Hall Deployment Script using PPO2
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
Code for ACM e-Energy 2021 paper: "On the Joint Control of Multiple Building Systems with Reinforcement Learning"
COBS: COmprehensive Building Simulator
Rocket-recycling with Reinforcement Learning
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Forecasting lectures and tutorials using Python