Name: Amitash Nanda
Type: User
Company: University of California San Diego
Bio: A Researcher with Software Development experience builds Machine Learning and Deep Learning models to solve significant Data Science Problems.
Twitter: AmitashNanda
Location: California
Blog: amitashnanda.github.io
Amitash Nanda's Projects
Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)
Transfer learning with medical images
Load Balancing AMReX: Combining Knapsack with SFC and various Space-Filling curves in WarpX
Cut and paste your surroundings using AR
Repository for ARIAC 2020/2021, consisting of kit building and assembly in a simulated warehouse with a dual arm robot.
A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.
This Gazebo world is well suited for organizations who are building and testing robot applications for warehouse and logistics use cases.
☁️ Azure summary in bullet points
GSoC-2017: Create a sonic anemometer using BeagleBoard Black for 2-dimension wind measurement
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
AI tool to build charts based on text input
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Developed a color classification model and drawing the concept from later to detect recycle bins using Gaussian Discriminant Analysis
Data Shapley: Equitable Valuation of Data for Machine Learning
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
This Repo is Created to submit Details and Works regarding E-Yantra
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing
Federated Learning Reading List and Notes
first-order deep learning accelerator model
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent