Hello World, I'm Sarthak š
- š Iām currently working on making ML models more robust
- š Pronouns: He/Him
Name: Sarthak Consul
Type: User
Company: Stanford University
Bio: Learning to make machines learn
Twitter: ConsulSarthak
Location: San Francisco, CA
Blog: sconsul.github.io
Course Project for EE782. IIT Bombay, Autumn 2019
PyTorch code to separate instruments from music using a low-latency neural network
Automatic Leetcode Progress Tracker
Solutions to Assignments of the ML course taken by Prof. Andrew Ng on Coursera
CS101 Project
A PyTorch Implementation of popular cyclic learning rate schedules
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Assignments for CS663, IIT Bombay, Autumn 2018
Electronics Design Lab, EE IITB 2019
Code Archive for Digital Lab (EE 214 @ IITB, Spring 2017)
Stanford AA228 (Winter 2023) Course Project
Stanford CS 330 (Fall 2021) Course Project
Pytorch implementation of GCN architecture for semantic segmentation
MATLAB code for depth estimation using stereo-matching and image refocussing
Various MATLAB simulations
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Material used for the TSS-2018 bootcamp on Machine Learning
Stanford CS 329D (Fall 2021) Course Project
Repository for the IEEE CDC 2020 Paper "Lower Bounds for Policy Iteration on Multi-action MDPs"(https://arxiv.org/abs/2009.07842)
Pytorch for Segmentation
PyTorch Implementation of ReSeg architecture for semantic segmentation
VHDL implementation of multicycle and pipelined RISC architecture - EE309 Autumn 2018, IIT Bombay
My GitHub user profile
Attempts at solving cases of the social golfer problem. See http://www.mathpuzzle.com/MAA/54-Golf%20Tournaments/mathgames_08_14_07.html
EE230 Project
IEEE's Signal Processing Society - Camera Model Identification Kaggle Competition
Stanford CS 224N (Winter 2022) Course Project
A brief summary of the various STL data structures and functions useful for competitive coding.
A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ššš
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ā¤ļø Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.