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Benchmarking continual learning techniques for Human Activity Recognition data. We offer interesting insights on how the performance techniques vary with a domain other than images.
Supervised Constrastive Loss implementation using fastai+pytorch
Correlation Alignment for Domain Adaptation
Tensorflow implementation for paper CosFace: Large Margin Cosine Loss for Deep Face Recognition
Using KNN Technique, train the model then predict whether a credit-card transaction is Fraud or not.
It is Based on Anamoly Detection and by Using Deep Learning Model SOM which is an Unsupervised Learning Method to find patterns followed by the fraudsters.
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
Do screenshot for Crosswalk view.
My own solutions for CS131_fall1718 homework release
Code examples in pyTorch and Tensorflow for CS230
Public facing notes page
CSCD70 Compiler Optimization
Python CSI processing and visualisation tools for Atheros, Intel, Nexmon, ESP32, and PicoScenes (USRP, etc) formats.
Simple neural network implementation using CUDA technology. It is an educational implementation.
Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Weinshall (ICML 2019)
CVPR 2021 论文和开源项目合集
Unsupervised Domain Adaptation Papers and Code
Machine learning datasets used in tutorials on MachineLearningMastery.com
Materials for the DAVIS Video Segmentation Contest
A Tensorflow implementation of paper, Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Repo for the Deep Learning Nanodegree Foundations program.
Course: Deep Learning
A few notebooks about deep learning in pytorch
🦅 Deep Learning awesome cheatsheet
A framework to estimate the Channel State Information for a 5G communication
Annotation of ECG signals using deep learning, tensorflow’ Keras
Final Project for AI Wireless
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.