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Type: User
Bio: Student
Type: User
Bio: Student
A project-based course on the foundations of MLOps with a focus on intuition and application.
Machine Learning Engineering for Production (MLOps) Coursera Specialization
mmFall: Fall Detection using 4D MmWave Radar and Variational Recurrent Autoencoder
Codes and template data for paper "Experiments with mmWave Automotive Radar Test-bed"
Image classification on the MNIST sign language dataset
This is the offline fitting portion of my paper: "Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks"
Monaco SUMO Traffic (MoST) Scenario
Must Reading Papers, Research Library, Open-Source Code on Integrated Sensing and Communications (aka. Joint Radar and Communications, Joint Sensing and Communications, Dual-Functional Radar Communications)
The Nak Machine Learning Library
NGSIM I-80 dataset Leader - Follower Vehicle Trajectory Pairs
Simple visualization of NGSIM I-80 dataset
Learning human driver models from NGSIM data with imitation learning.
The Repository contains all the NLP projects's notebook I had worked on whilains all the NLP project notebooks I had worked on while doing this specialization on Coursera.It covers NLP tasks from probabilistic models all to the attention models.
Nonlinear System Identification (aka Learning Dynamical Systems) with guaranteed stability/contraction
An open source library for interacting with and processing radar data, specialized for MIMO mmWave radars
As we all know that agriculture depends largely on the nature of soil and the climatic conditions and many a times, we face unpredictable changes in climate like, non-seasonal rainfall or heat waves or fluctuations in humidity levels, etc.
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
A GitHub repository for the TensorFlow Training held in Peru (August 8th-11th)
Ph.D. Thesis - Scalable Human Identification with Deep Learning
Example Radar programs for the Phaser (CN0566)
Learning for Dynamic and Personalised Knowledge-Based Activity Models. The PhD thesis is about learning personalised activity models in intelligent environments based on rough and generic knowledge-based models. Data-driven techniques are used to complete initial knowledge-based models.The source code (Python), tests and the dissertation itself (in Latex) can be found here.
PhD Thesis - Cross Validation for Unsupervised Learning
Doctoral thesis on machine learning in state estimation.
PhD thesis on "Data summarizations for scalable, robust and privacy-aware learning in high-dimensions", Department of Computer Science & Technology, University of Cambridge
PhD thesis on Robust Semi-supervised Learning
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.