namanmakkar Goto Github PK
Name: Naman Makkar
Type: User
Company: University of Michigan
Bio: MSE Aerospace Engineering @ UMich
Location: Ann Arbor
Name: Naman Makkar
Type: User
Company: University of Michigan
Bio: MSE Aerospace Engineering @ UMich
Location: Ann Arbor
Implemented a system to combine a series of horizontally overlapping photographs into a single panoramic image by making use of RANSAC algorithm
This repository contains the code and report for the coursework of CS5727 Optimization Methods offered in Fall 2022 at Cornell Tech. This is the work of Naman Makkar and Aya Chehabi
Alex Krizhevsky's original code from Google Code
This repository contains the coursework solutions for CS5787 Deep Learning offered at Cornell Tech in Spring 2023
low latency, composable, and distributed dataflow for AI and robotic application
This repo contains the Assignments from Cornell Tech's ECE 5545 - Machine Learning Hardware and Systems offered in Spring 2023
This contains the code and the submission csv files for completing the 2 challenges provided in the hackathon, managed to achieve an mAP of 42.96% for challenge-1 and an mAP of 11.93% for challenge-2 winning second place
Not the most descriptive description
This project identifies a pairing between a point in one image and a corresponding point in another image. Feature detection and matching is carried out with the help of Harris Feature Detector, MOPS and SIFT feature descriptors, feature matching is carried out with the help of SSD(sum of squared differences) distance and Ratio Distance
Training LLMs with QLoRA + FSDP
lightweight, standalone C++ inference engine for Google's Gemma models.
The goal of this project was to create an image filtering function for creating hybrid images using a simplified version of the SIGGRAPH 2006 paper by Oliva, Torralba, Schyns.
The repository is a demonstration of how to create a Github repository and to properly set it up
Training mesnest models on imagenet on lambda labs gpu instances
This repository contains the code for the final coursework of INFR09051 Informatics Large Practical, a course offered in Fall 2020 at The University of Edinburgh. This is the work of Naman Makkar
Jupyter Notebook for the EdIntelligence Introduction to scikit-learn workshop
A talk on Introduction to Keras for EdIntelligence
Inference Llama 2 in one file of pure 🔥
A fast llama2 decoder in pure Rust.
minitorch - A PyTorch API implemented from scratch for the course CS5781 Machine Learning Engineering
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
Repository for implementing moving polygone zone annotators
Kolmogorov Arnold Networks
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
This assignment exercises the concepts of photometric stereo and plane sweep stereo. These have been implemented in numpy and python on various datasets
This repository contains the courseworks for the course ECE5235 Sustainable Urban Energy Systems offered in Spring 2023 @ Cornell Tech
This repository contains the code for all 3 courseworks for INFR10074 Computer Communications and Networks offered at The University of Edinburgh in Spring 2021
This repository contains the code for the coursework of INFR11010 Reinforcement Learning offered in Spring 2022 at The University of Edinburgh. This is the work of Naman Makkar
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.