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Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"
Code for 'Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting' in ECCV2018
A python vision code of An Attention-based Spatiotemporal LSTM Network for Next POI Recommendation
This is Andrew NG Coursera Handwritten Notes.
Code supporting raw ranges for the Android
Unsupervised Anomalous Trajectory Detection for Crowded Scenes
Machine Learning model to detect the anomalies in a Wireless Sensor Network for the purpose of Event detection using PYOD module of Python
[CSC724] Sparse RNN Enc-Dec, LSTM Encoder Decoder and GRU auto encoders for anomaly prediction in a Distributed Infrastructue using collectd, kafka and Keras.
Thesis project about Unsupervised anomaly detection on the streaming time-series data of porfolio risk measures and returns.
Areas-of-Interest (AOI) for and with OpenStreetMap.
Used public Uber trip data to build a real-time example for analysis and monitoring of car GPS data via K-Means Clustering in Apache Spark.
PoseNet localization task implementation on Apolloscape dataset with PyTorch.
This repository contains the AR application and visualization data generation scripts for the study "Exploring the Impact of Augmented Reality on Collaboration Strategies in Two Person Teams".
The Abstraction and Reasoning Corpus
The code of ACL 2019 paper: Matching Article Pairs with Graphical Decomposition and Convolutions
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
Mining Association Rules and Frequent Itemsets with R
Attentive Sequential Model Based on Graph Neural Network for Next POI Recommendation
Anomalous Trajectory Detection and Classification Based on Difference and Intersection Set Distance
Deep Fake video generation from audio file as well as eye & face movements transfer
Automatic architecture search and hyperparameter optimization for PyTorch
Partnered With Autonomous Vehicle Startup Zendar to Address Mapping and Localization Using High-Definition Radars
Implementation of a highway merging scenario
A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes
Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation
L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya
List of AI Residency Programs
A curated list of amazingly awesome Cybersecurity datasets
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.