Stars
Forecasting Private Capital Market using published research and patents. Project developed at Michigan State University under the guidance of Dr. Mohammed Ghassemi for JP Morgan Chase.
Scripts used to make and evaluate OpenAlex's concept tagging model
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
Robust PCA: PCP, Stable PCP, PCP with compressed data, IRCUR
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Let's use Pinecone to give a basic chatbot INFINITE MEMORY
Simple Pinecone + OpenAI framework to do RAG on movie reviews (or anything else)
🦜🔗 Build context-aware reasoning applications
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
Library for Multi-objective optimization in Gradient Boosted Trees
https://huyenchip.com/ml-interviews-book/
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
This is repository of my YouTube Course on End to End Apache Spark in AIEngineering YouTube Channel
Run VSCode (codeserver) on Google Colab or Kaggle Notebooks
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.
Simulation-based Optimization of Building Control Strategies
Model-based Reinforcement Learning for Building HVAC Control
Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus
Code for the paper "Jukebox: A Generative Model for Music"
Differentiable predictive control (DPC) policy optimization examples.
Change your wallpaper daily to the NASA's astronomy picture of the day