Name: Sanjay Marreddi
Type: User
Company: Arctic Lake Technology
Bio: eTrading Developer at ALT • ex Software Intern at Amazon, Intuit, Blaze AI • IIT Goa'23 • C++, Low Latency, AI • Open Source Developer
Twitter: SanjayMarreddi
Location: London, UK
Sanjay Marreddi's Projects
Recommendations using ML algorithms such as the collaborative filtering algorithm and low-rank matrix factorization.
A curated list of awesome Github Profile READMEs
Awesome IoT Projects. A collaborative list of great resources about IoT Demos
cAInvas Scholarship Program by AITS where I am Learning and Implementing AI in Industrial IOT
Annual Technical Festival of IIT GOA - 2021
A Covid-19 Chat bot that aims to serve humans queries and give an feasible answer to their queries. It is a machine-learning discussion dialog engine which makes it possible to generate responses based on collections of old conversations.
Template for writing your own contributing guide
Coursera Course of Tensor Flow in Practice Specialisation
A curated set of Codes in C++
Toturial coming with "data science roadmap" graphe.
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Using a popular HDL named VHDL to understand how a Computer is built !!
Collection of all important Data Structures and algorithms.
An Exciting Deep Learning-based Flask web app that predicts the Facial Expressions of users and also does Graphical Visualization of the Expressions.
🧠 Free AI Resources for everyone
FURY - Free Unified Rendering in pYthon.
Integrating digital games with physical fitness.
⭐️ Companies that don't have a broken hiring process
Based on the data available, I tried to predict the sales price for each house using the Random Forest Regressor Algorithm
Coursera Course of TensorFlow in Practice Specialisation
Coursera_Machine_Learning_Week_8_Programming_Assignment
Coursera_Machine_Learning_Week_2_Programming_Assignment
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.