Git Product home page Git Product logo

Hi there, I am Yash! 👋

Twitter Follow

Welcome to my GitHub. I am currently a Ph.D. student working with the Visual Geometry Group at Univeristy of Oxford. My research focus is 3D Computer Vision and Machine Learning. If you have any questions about my projects, please feel free to send me an email or setup a meeting with me.

Yash Sanjay Bhalgat's Projects

accsgd icon accsgd

Implements pytorch code for the Accelerated SGD algorithm.

awesome-nerf icon awesome-nerf

A curated list of awesome neural radiance fields papers

contrastive-lift icon contrastive-lift

[NeurIPS 2023 Spotlight] Code for "Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion"

convolutional-neural-net icon convolutional-neural-net

A Convolutional Neural Network built from scratch - Assignment for Advanced Computer Vision course at University of Michigan, Ann Arbor. Similar work was done in the Digital Image Processing course at IIT Bombay.

cs101_project icon cs101_project

Telephone Directory - My first awesome CS Project using link lists and search algorithms

cs663 icon cs663

Image Processing Assignments

graphs_practice icon graphs_practice

Created for learning and practicing graph algorithms using boost and other libraries

hashnerf-pytorch icon hashnerf-pytorch

Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/

imageproccontrolledbot-itsp icon imageproccontrolledbot-itsp

Image Processing based algorithm using openCV libraries to detect an object and move a bot based on the object's position

indoor-navigation-system icon indoor-navigation-system

Code for building an Indoor Navigation System based on inputs from Accelerometer, Gyrometer and Magnetometer of smart devices

me766-assignments icon me766-assignments

High Performance Scientific Computing assignments - OpenMP, MPI, CUDA, etc.

mrnet-competition icon mrnet-competition

My implementation for the MRNet competition hosted by the Stanford ML group

nerf-pytorch icon nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

neuraldiff icon neuraldiff

Official PyTorch implementation of NeuralDiff: Segmenting 3D objects that move in egocentric videos.

parallelcv icon parallelcv

Computer Vision and Image Processing algorithms acceleration using CUDA - Guide: Prof. S. Gopalakrishnan

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.