BinHuangScut's Stars
open-webui/open-webui
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
streamlit/streamlit
Streamlit — A faster way to build and share data apps.
facebookresearch/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
torch-points3d/torch-points3d
Pytorch framework for doing deep learning on point clouds.
isl-org/Open3D-ML
An extension of Open3D to address 3D Machine Learning tasks
luca-medeiros/lang-segment-anything
SAM with text prompt
Pointcept/Pointcept
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
Pointcept/SegmentAnything3D
[ICCV'23 Workshop] SAM3D: Segment Anything in 3D Scenes
chauncygu/Safe-Reinforcement-Learning-Baselines
The repository is for safe reinforcement learning baselines.
hubbs5/or-gym
Environments for OR and RL Research
ANL-CEEESA/MIPLearn
Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (ML)
pwdemars/rl4uc
Reinforcement learning for unit commitment
PredictiveIntelligenceLab/Long-time-Integration-PI-DeepONets
Traffic-Alpha/iLLM-TSC
This repository contains the code for the paper“iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement”
KingArthur000/Electrical-Fault-detection-and-classification
A sample power system was modeled using MATLAB Simulink and all six types of faults were introduced into the transmission line of the power system. An ML classifier using 8 types model was implemented using sklearn and an appropriate model was selected as the end model for each problem.
chennnnnyize/LLM_PowerSystems
qdevpsi3/quantum-arch-search
Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)
CERN-IT-INNOVATION/QuASK
Quantum Advantage Seeker with kernel
AIAnytime/azure-search-openai-demo
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
klostest/energy_arbitrage_work_sample
lockwo/qml-library
A curated list of papers, blogs, and research publications in the field of Quantum Machine Learning
qlan3/QuantumExplorer
A quantum reinforcement learning framework based on PyTorch and PennyLane.
joschout/SubmodularMaximization
A collection of optimization algorithms for maximizing unconstrained submodular set functions.
sophchoe/Binary_Classification_Pennylane_Keras
Classical-Quantum hybrid model for credit card fraud detection
lockwo/rl_qvc_opt
Code for "Optimizing Quantum Variational Circuits with Deep Reinforcement Learning"
ruyueshuo/Unit-Commitment-Gurobi
Python version of unit commitment solver using gurobi-python api.
hari-sikchi/pytorch_CPO
Simple implementation for Constrained Policy Optimization in Pytorch
askolik/quantum_agents
Code for Q-learning with parametrized quantum circuits in OpenAI Gym environments.
dan-marshman/denki-uc
Stochastic unit commitment model in python