Pinned Repositories
11785-Introduction-to-Deep-Learning
achuwilson.github.io
CMU11785-Deep-Learning
Projects on AI topics like speech recognition, face recognition, and neural machine translation + Projects on engineering my own version of PyTorch libraries and optimization methods from scratch.
examples-pse
Example Python code, Jupyter Notebooks, and other files for the IDAES PSE
f21-06623
Fall 2021 Mathematical Modeling of Chemical Engineering Processes
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Model-Predictive-Control
Model Predictive control is used in Industries across varied processes for ensuring control of target variables while manipulating inputs. We try to explore different paradigms of such control infrastructures to add stability and improve convergence on a multivariable system
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Resources
Best resources to learn ML, DL, Aptitude, Probability, Statistics etc.
superstructure
This is a model formulation to optimize the structure of a carbon capture system. The main objective of the model is to minimize the total cost, which includes capital, operating, maintenance, utilities, and power costs to achieve at least a 90% CO2 capture target.
nairakhilsukuma's Repositories
nairakhilsukuma/achuwilson.github.io
nairakhilsukuma/CMU11785-Deep-Learning
Projects on AI topics like speech recognition, face recognition, and neural machine translation + Projects on engineering my own version of PyTorch libraries and optimization methods from scratch.
nairakhilsukuma/examples-pse
Example Python code, Jupyter Notebooks, and other files for the IDAES PSE
nairakhilsukuma/f21-06623
Fall 2021 Mathematical Modeling of Chemical Engineering Processes
nairakhilsukuma/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
nairakhilsukuma/Model-Predictive-Control
Model Predictive control is used in Industries across varied processes for ensuring control of target variables while manipulating inputs. We try to explore different paradigms of such control infrastructures to add stability and improve convergence on a multivariable system
nairakhilsukuma/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
nairakhilsukuma/Resources
Best resources to learn ML, DL, Aptitude, Probability, Statistics etc.
nairakhilsukuma/superstructure
This is a model formulation to optimize the structure of a carbon capture system. The main objective of the model is to minimize the total cost, which includes capital, operating, maintenance, utilities, and power costs to achieve at least a 90% CO2 capture target.
nairakhilsukuma/11785-Introduction-to-Deep-Learning
nairakhilsukuma/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
nairakhilsukuma/amazon-braket-examples
Example notebooks that show how to apply quantum computing in Amazon Braket.
nairakhilsukuma/Circular-Plastics-MINLP
Circular Plastics Superstructure.
nairakhilsukuma/CMU-11785-2021spring
nairakhilsukuma/Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
nairakhilsukuma/Computer-Vision-Video-Lectures
A curated list of free, high-quality, university-level courses with video lectures related to the field of Computer Vision.
nairakhilsukuma/cvxopt
CVXOPT -- Python Software for Convex Optimization
nairakhilsukuma/dwsim
DWSIM is a Steady-State and Dynamic Sequential Modular Chemical Process Simulator for Windows, Linux and macOS.
nairakhilsukuma/GAMS-to-python
Conversions of GAMS CGE models to python pyomo.
nairakhilsukuma/Gaussian-Process-based-Model-Predictive-Control
Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart
nairakhilsukuma/gdplib
An open library of Generalized Disjunctive Programming (GDP) models
nairakhilsukuma/idaes-pse
The IDAES Process Systems Engineering Framework
nairakhilsukuma/Model-Predictive-Control-ACControl
This project is to use Model Predictive Control (MPC) to drive a car in a game simulator. The server provides reference waypoints (yellow line in the demo video) via websocket, and we use MPC to compute steering and throttle commands to drive the car. The solution must be robust to 100ms latency, since it might encounter in real-world application.
nairakhilsukuma/modeling-examples-Day1
Gurobi modeling examples
nairakhilsukuma/numba_tutorial_scipy2017
nairakhilsukuma/OMLT
nairakhilsukuma/QuIPML
Quantum Integer Programming and Machine Learning Course Website. 18-819F 47-779/785 CMU Fall 2021
nairakhilsukuma/Selenium_Webscraper
nairakhilsukuma/Systems-Optimization