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Hi 👋

  • 🤖 I work on engineering problems. Solving them mostly involves programming, and crafting good software. Sometimes, I have to use this thing called machine learning.
  • 💩 I'm really trying to avoid using machine learning and solve a problem without it if possible.
  • 😒 But it turns out I'm having to use them more than I'd like to coz the hard problems that are still out there seem to need elements of machine learning.
  • 😄 Thankfully, it involves a lot of programming and math, which I like. So, we are good so far.
  • 👻 In my spare time, I like to read, watch TV, play some football or tennis.
  • 🏥 I'm currently building an open-source software framework for enabling the deployment of machine learning models for healthcare use cases.

My bread and butter:

linux Git Vim Docker

Programming languages:

Python C C++ Rust Go Lua

Machine learning and Scientific Computation:

numpy pandas polars pytorch Tensorflow

Visualization:

Plotly

Amrit Krishnan's Projects

amrit110 icon amrit110

I've always wanted to create a repo named with my username

apollo icon apollo

An open autonomous driving platform

awesome-healthcare icon awesome-healthcare

Curated list of awesome open source healthcare software, libraries, tools and resources.

cyclops icon cyclops

Framework for healthcare ML implementation

gopl.io icon gopl.io

Example programs from "The Go Programming Language"

health_ml icon health_ml

Repo to collect resources related to ML for healthcare problems

mbrl-hvac-energy-optimization icon mbrl-hvac-energy-optimization

A reference solution for using model-based reinforcement learning to train energy utilization-minimizing HVAC control agents. Developed by TELUS with support from Vector Institute.

minimal-mistakes icon minimal-mistakes

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

models icon models

Models and examples built with TensorFlow

mypy icon mypy

Optional static typing for Python 3 and 2 (PEP 484)

nannyml icon nannyml

nannyml: post-deployment data science in python

numpy icon numpy

The fundamental package for scientific computing with Python.

opengpt icon opengpt

A framework for creating grounded instruction based datasets and training conversational domain expert Large Language Models (LLMs).

post--example icon post--example

Example Distill article repository—clone, rename, start writing!

ruff icon ruff

An extremely fast Python linter, written in Rust.

rustlings icon rustlings

:crab: Small exercises to get you used to reading and writing Rust code!

safe-control-gym icon safe-control-gym

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

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