abhisheklalwani Goto Github PK
Name: Abhishek Lalwani
Type: User
Company: University of Massachusetts Amherst
Bio: Gradute Student in Computer Science at University of Massachusetts, Amherst
Location: Amherst, Massachusetts
Name: Abhishek Lalwani
Type: User
Company: University of Massachusetts Amherst
Bio: Gradute Student in Computer Science at University of Massachusetts, Amherst
Location: Amherst, Massachusetts
This repository contains the implementation of style transfer on 3D meshes. The code leverages the technique mentioned in the Neural 3D Mesh Renderer Paper by Hiroharu Kato, Yoshitaka Ushiku, and Tatsuya Harada.
The repository contains my logs of the 60 Days of Udacity challenge undertaken by me as a part of Secure and Private AI challenge by Udacity.
This repository contains the research and development of a fine-grained action recognition pipeline for sports action recognition. This project was developed as a part of 696DS course at University of Massachusetts Amherst, in collaboration with Microsoft Corporation.
Repository for hosting my CV
Tutorial on fine tuning DeepLabv3 segmentation network for your own segmentation task in PyTorch.
Semantic Segmentation : Multiclass fine tuning of DeepLabV3 with PyTorch
End-to-End Object Detection with Transformers
Smog detection Model Deployment repository
This repository contains my script for listening to the user audio and recording the last 10 seconds of his/her gameplay based upon an audio cue given by the user (Currently the predefined trigger word is Capture). It's currently in a very preliminary stage and there are quite a few bugs but the POC works as expected. Will be cleaning up the code sometime in the near future.
Jenkins automation server
This repository contains my solution to various Leetcode Problems in Python.
An open-source toolbox for action understanding based on PyTorch
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
A PyTorch port of the Neural 3D Mesh Renderer
Python assignments, tests and tutorials developed for "Neural Networks & Fuzzy Logic" course at BITS Pilani.
Following project depicts the usage of Resnet101 backbone for detecting obscene content in images.
This repository implements Pygmy, an Online Book Retail Shop which explores various concepts of distributed systems such as replication, caching, consistency, and fault tolerance. The code contained in the repository was developed as a part of the 677 course at UMass Amherst in Spring 2021.
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
This repository highlights my research over the Summer of 2021 at the Computer Vision Lab, University of Massachusetts Amherst, under the supervison of Professor Subhransu Maji.
This repository highlights the development of the pre-processing and the dataset generation pipeline of my research at the Computer Vision Lab, University of Massachusetts Amherst.
Repository for creating the dataset for Smog detection for #sg_planetearth as a part of Secure and Private AI Challenge by Facebook on Udacity. Final link of the complete dataset - https://www.kaggle.com/berenice18/smog4000
Code of 2D-to-3D style transfer in the paper "Neural 3D Mesh Renderer" by H. Kato, Y. Ushiku, and T. Harada.
The repository contains my code and relevant images which i used to participate in the #sg_project_t-shirt challenge organized as a part of Secure and Private AI challenge hosted by Udacity.
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.