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Name: Charlene Leong
Type: User
Bio: Greetings human ! I'm an AI/machine learning engineer/data scientist who likes to tinker, design and build interesting things.
Location: Australia
Name: Charlene Leong
Type: User
Bio: Greetings human ! I'm an AI/machine learning engineer/data scientist who likes to tinker, design and build interesting things.
Location: Australia
3D-GMIC: an efficient deep neural network to find small objects in large 3D images
The AI Powered Speech Analytics for Amazon Connect solution provides the combination of speech to text transcription, translation into preferred languages, and insights for agents and supervisors all in real-time
AKS with Terraform
How data science is woven into the fabric of Stitch Fix
Algorithms for explaining machine learning models
Staging area for ongoing enhancements to Ray focused on improving integration with AWS and other Amazon technologies.
Benchmarking the trade-offs between cost, train time, and performance for fine-tuning HuggingFace models with distributed training on Amazon SageMaker.
Website resources for AWS Amplify and Vue website test
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
This repository will contain a demo using Weaviate with data and metadata from the arXiv dataset.
The Ask Around Me example serverless web application. See the Compute Blog series and video series for more information. Contact @jbesw for info.
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
Source code for models described in the paper "AudioCLIP: Extending CLIP to Image, Text and Audio" (https://arxiv.org/abs/2106.13043)
A collection of research papers and software related to explainability in graph machine learning.
Human Pose Estimation Related Publication
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
A curated list of articles that cover the software engineering best practices for building machine learning applications.
A curated list of papers and code in exploring single positive multi-label learning (SPML), a interesting and challenging variant of multi-label learning.
Code to support the AWS Big Data Blog post Build a cloud-native network performance analytics solution on AWS for wireless service providers.
This solution helps you deploy ETL jobs on data lake using CDK Pipelines.
This solution helps you deploy Data Lake Infrastructure on AWS using CDK Pipelines.
Resizing Image using Amazon CloudFront and Lambda@Edge
Repository with the code for running deep learning inference benchmarks on different AWS instances and service types.
A suite of utilities for AWS Lambda Functions that makes tracing with AWS X-Ray, structured logging and creating custom metrics asynchronously easier
Scans your available SSO accounts and creates SSO config file
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.