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Name: andrew98
Type: User
Name: andrew98
Type: User
Code for data processing used for the experiment in paper "Deepsense: a unified deep learning framework for time-series mobile sensing data processing"
Hierarchical Federated Learning with Quantization of Deep Networks from Decentralized Data
The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition
The MHEALTH (Mobile Health) dataset is devised to benchmark techniques dealing with human behavior analysis based on multimodal body sensing.
Official ImageNet Model repository
Javascript Triangle Arbitrage Bot v2 works on ETH, BNB and Polygon Networks. Won the 4th place in the code off.
A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.
Code for: "And the bit goes down: Revisiting the quantization of neural networks"
Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)
Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devices. Findings shows that HART uses fewer paremeters, FLOPs and achieves state-of-the-art results.
a simple hidden silent XMR miner.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
The source code and collected data for the Meta-HAR (WWW 2021) paper.
A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.
Principles of ML Systems Project
Personalized federated learning codebase for research
Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
Reconfiguration selected Android smartphones to support 192kHz sampling rates for acoustic sensing
DeiT implementation for Q-ViT
This is the source code supports the findings of radar-based human activity recognition
Human Activity Recognition from Point Clouds Generated through a Millimeter-wave Radar
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
RF-Net: A Unified Meta-Learning Framework for RF-enabledOne-Shot Human Activity Recognition
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.